Academic Qualification

Ph.D. in Lanzhou University

Master in Lanzhou University

Teaching Area

Big data

Artificial intelligence

Financial mathematical modeling

Statistical modeling

Research Area

Professor Wang Jianzhou received the Special government Allowance of The State Council of China in 2018, and has been included in Clarivate's Global List of Highly Cited Scientists in Interdisciplinary Fields and Engineering for three consecutive years. For five consecutive years, he was selected as one of Elsevier's Most Cited Scholars in China Statistics and Mathematics List and one of Stanford University's "Top 2% of Top Scientists in the World" Lifetime Scientific Influence list and annual Scientific Influence List in the fields of artificial intelligence and energy for five consecutive years. According to the "Annual Influence" list based on 2022 data, Professor Wang Jianzhou is ranked 241 in the world in the field of energy, ranking in the top 0.08% in the world. He has published more than 370 papers in his academic career, including more than 180 SCI/SSCI retrieval papers in the past five years, most of which were published in first-class academic journals at home and abroad, such as IEEE Transactions on Industrial Informatics (IF: 12.3Q1); IEEE Transactions on Sustainable Energy (IF: 8.8Q1); IEEE Transactions on Power System (IF: 7.7Q1); Renewable and Sustainable Energy Reviews (IF: 16.799 Q1); Omega-International Journal of Management Science (IF: 8.6Q1); Applied Soft Computing (IF: 7.9 Q1); Applied Energy (IF: 11.446 Q1); Knowledge based Systems (IF: 8.6Q1); Applied Mathematical Modelling (IF: 4.5 Q1) Energy Conversion and Management (IF: 11.533 Q1); Information Sciences (IF: 8.1 Q1), etc. Professor Wang Jianzhou's papers have been cited more than 17,900 times with an H-index of 76, among which 6 academic papers have been listed as hot papers in the field by ISI Web of science Basic Science Index ESI. It entered the Top 1‰, and 48 academic papers were listed as highly cited papers and research frontiers in the field disciplines, entering the Top 1%. Published two monographs, "Prediction Theory Based on Swarm Intelligent Optimization Algorithm" (Science Press), "Theory and Application of Combinatorial Prediction Method Based on Variable Weights" (Electronics Industry Press), and obtained 4 software Copyrights.

Professional Services

Guest Editor in Chief, Energies

Guest Editor, Energies

Guest Editor, Frontiers in Ecology and Evolution

Working Experience

Sep. 2021 ~ present, Professor, Faculty of Innovation Engineering, Macau University of Science and Technology

Academic Publication (selected)

1.          Jiang P., Nie Y., Wang J., Huang X. Multivariable short-term electricity price forecasting using artificial intelligence and multi-input multi-output scheme, (2023) Energy Economics, DOI: 10.1016/j.eneco.2022.106471

2.          Wang J., Yu Y., Zeng B., Lu H. Hybrid ultra-short-term PV power forecasting system for deterministic forecasting and uncertainty analysis, (2024) Energy, DOI: 10.1016/j.energy.2023.129898

3.          Wang J., Guo H., Li Z., Song A., Niu X. Quantile deep learning model and multi-objective opposition elite marine predator optimization algorithm for wind speed prediction, (2023) Applied Mathematical Modelling, DOI: 10.1016/j.apm.2022.10.052

4.          Wang J., Xing Q., Zeng B., Zhao W. An ensemble forecasting system for short-term power load based on multi-objective optimizer and fuzzy granulation, (2022) Applied Energy, DOI: 10.1016/j.apenergy.2022.120042

5.          Gao J., Wang J., Zhou Y., Lv M., Wei D. Enhancing investment performance of Black-Litterman model with AI hybrid system: Can it be done? (2024) Expert Systems with Applications, DOI: 10.1016/j.eswa.2023.122924

6.          Liu J., Wang J., Wang S., Zhao W. Wind speed point prediction and interval prediction method based on linear prediction model, neural network, and deep learning, (2023) Journal of Ambient Intelligence and Humanized Computing, DOI: 10.1007/s12652-022-04423-6

7.          Niu T., Wang J., Du P., Yang W. WPFSAD: Wind Power Forecasting System Integrating Dual-Stage Attention and Deep Learning, (2023) IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2023.3245196

8.          Hao Y., Wang X., Wang J., Yang W. A novel interval-valued carbon price analysis and forecasting system based on multi-objective ensemble strategy for carbon trading market, (2024) Expert Systems with Applications, DOI: 10.1016/j.eswa.2023.122912

9.          Yin F., Bo Z., Yu L., Wang J. Prediction of carbon dioxide emissions in China using a novel grey model with multi-parameter combination optimization, (2023) Journal of Cleaner Production, DOI: 10.1016/j.jclepro.2023.136889

10.      Lv M., Wang J., Wang S., Gao J., Guo H. Developing a hybrid system for stock selection and portfolio optimization with many-objective optimization based on deep learning and improved NSGA-III, (2024) Information Sciences, DOI: 10.1016/j.ins.2024.120549

11.      Cui H., Zhang L., Yang H., Wang J., Liu Z. Correction to: Maximizing the lender’s profit: profit-oriented loan default prediction based on a weighting model (Annals of Operations Research, (2024), 10.1007/s10479-024-05912-x), (2024) Annals of Operations Research, DOI: 10.1007/s10479-024-05952-3

12.      Li S., Wang J., Zhang H., Liang Y. Enhancing hourly electricity forecasting using fuzzy cognitive maps with sample entropy, (2024) Energy, DOI: 10.1016/j.energy.2024.13142

13.      Wang J., Zhang H., Li Q., Ji A., Design and research of hybrid forecasting system for wind speed point forecasting and fuzzy interval forecasting, (2022) Expert Systems with Applications, DOI: 10.1016/j.eswa.2022.118384

14.      Hu S., Zhang J., Wang J., Wu N., Li Z., Optimal sensor selection for diagnosability enforcement of discrete event systems using labeled petri net, (2023) IET Control Theory and Applications, DOI: 10.1049/cth2.12480

15.      Zhang H., Wang J., Nie Y. A novel optimization model based on fuzzy time series for short-term Air Quality Index forecasting, (2024) Knowledge-Based Systems, DOI: 10.1016/j.knosys.2024.111905

16.      Zhang L., Wang J., Liu Z. What should lenders be more concerned about? Developing a profit-driven loan default prediction model, (2023) Expert Systems with Applications, DOI: 10.1016/j.eswa.2022.118938

17.      Dong Y., Wang J., Niu X., Zeng B. Combined water quality forecasting system based on multiobjective optimization and improved data decomposition integration strategy, (2023) Journal of Forecasting, DOI: 10.1002/for.2905

18.      Wang J., Niu X., Zhang L., Liu Z., Huang X. A wind speed forecasting system for the construction of a smart grid with two-stage data processing based on improved ELM and deep learning strategies, (2024) Expert Systems with Applications, DOI: 10.1016/j.eswa.2023.122487

19.      Wang J., Wang K., Li Z., Lu H., Jiang H., Xing Q. A Multitask Integrated Deep-Learning Probabilistic Prediction for Load Forecasting, (2024) IEEE Transactions on Power Systems, DOI: 10.1109/TPWRS.2023.3257353

20.      Yu Y., Niu T., Wang J., Jiang H. Intermittent solar power hybrid forecasting system based on pattern recognition and feature extraction, (2023) Energy Conversion and Management, DOI: 10.1016/j.enconman.2022.116579

21.      Hao Y., Wang X., Wang J., Yang W., A new perspective of wind speed forecasting: Multi-objective and model selection-based ensemble interval-valued wind speed forecasting system, (2024) Energy Conversion and Management, DOI: 10.1016/j.enconman.2023.117868

22.      Xing Q., Wang J., Jiang H., Wang K. Research of a novel combined deterministic and probabilistic forecasting system for air pollutant concentration, (2023) Expert Systems with Applications, DOI: 10.1016/j.eswa.2023.120117

23.      Wang J., Li Q., Zhang H., Wang Y., A deep-learning wind speed interval forecasting architecture based on modified scaling approach with feature ranking and two-output gated recurrent unit, (2023) Expert Systems with Applications, DOI: 10.1016/j.eswa.2022.118419

24.      Li R., Wang J., Li J., Kou M., Long, short, and medium terms wind speed prediction model based on LSTM optimized by improved moth flame optimization algorithm, (2024) Environmental Science and Pollution Research, DOI: 10.1007/s11356-024-33580-8

25.      Lv M., Wang J., Wang S., Zhao Y., Gao J., Wang K., A multi-input and dual-output wind speed interval forecasting system based on constrained multi-objective optimization problem and model averaging, (2024) Energy Conversion and Management, DOI: 10.1016/j.enconman.2024.118909

26.      Zhang Z., Wang J., Wei D., Xia Y., An improved temporal convolutional network with attention mechanism for photovoltaic generation forecasting, (2023) Engineering Applications of Artificial Intelligence, DOI: 10.1016/j.engappai.2023.106273

27.      Gu L., Wang J., Liu J., A combined system based on data preprocessing and optimization algorithm for electricity load forecasting, (2024) Computers and Industrial Engineering, DOI: 10.1016/j.cie.2024.110114

28.      Zeng B., Zheng T., Xu X., Wang J., A novel structure grey prediction model with strong compatibility and its application in forecasting the annual average concentration of particulate matter in Beijing, (2024) Engineering Applications of Artificial Intelligence, DOI: 10.1016/j.engappai.2024.108974

29.      Nie Y., Li P., Wang J., Zhang L., A novel multivariate electrical price bi-forecasting system based on deep learning, a multi-input multi-output structure and an operator combination mechanism, (2024) Applied Energy, DOI: 10.1016/j.apenergy.2024.123233

30.      Liu Z., Zhang Y., Abedin M.Z., Wang J., Yang H., Gao Y., Chen Y., Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction, (2024) Journal of Retailing and Consumer Services, DOI: 10.1016/j.jretconser.2024.103854

31.      Zhang H., Wang J., Li Q., Nonlinear fuzzy forecasting system for wind speed interval forecasting based on self-adaption feature selecting and Bi-LSTM, (2024) Signal, Image and Video Processing, DOI: 10.1007/s11760-023-02759-w

32.      Chen X., Wang Y., Zhang H., Wang J., A novel hybrid forecasting model with feature selection and deep learning for wind speed research, (2024) Journal of Forecasting, DOI: 10.1002/for.3098

33.      Liu Z., Jiang P., Wang J., Du Z., Niu X., Zhang L., Hospitality order cancellation prediction from a profit-driven perspective, (2023) International Journal of Contemporary Hospitality Management, DOI: 10.1108/IJCHM-06-2022-0737

34.      Wang K., Liu Y., Xing Q., Qian Y., Wang J., Lv M., An integrated system to significant wave height prediction: Combining feature engineering, multi-criteria decision making, and hybrid kernel density estimation, (2024) Expert Systems with Applications, DOI: 10.1016/j.eswa.2023.122351

35.      Zhou W., Zeng B., Wu Y., Wang J., Li H., Zhang Z., Application of the three-parameter discrete direct grey model to forecast China’s natural gas consumption, (2023) Soft Computing, DOI: 10.1007/s00500-022-07523-9

36.      Yang H., Gao Y., Zhao F., Wang J., An intelligent interval forecasting system based on fuzzy time series and error distribution characteristics for air quality index, (2024) Environmental Research, DOI: 10.1016/j.envres.2024.118577

37.      Liu Z., Jiang P., De Bock K.W., Wang J., Zhang L., Niu X., Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction, (2024) Technological Forecasting and Social Change, DOI: 10.1016/j.techfore.2023.122945

38.      Du P., Yang D., Li Y., Wang J., An innovative interpretable combined learning model for wind speed forecasting, (2024) Applied Energy, DOI: 10.1016/j.apenergy.2023.122553

39.      Lv M., Wang J., Niu X., Lu H., A newly combination model based on data denoising strategy and advanced optimization algorithm for short-term wind speed prediction, (2023) Journal of Ambient Intelligence and Humanized Computing, DOI: 10.1007/s12652-021-03595-x

40.      Xing Q., Huang X., Wang J., Wang S., A novel multivariate combined power load forecasting system based on feature selection and multi-objective intelligent optimization, (2024) Expert Systems with Applications, DOI: 10.1016/j.eswa.2023.122970

41.      Dong Y., Sun Y., Liu Z., Du Z., Wang J., Predicting dissolved oxygen level using Young's double-slit experiment optimizer-based weighting model, (2024) Journal of Environmental Management, DOI: 10.1016/j.jenvman.2023.119807

42.      Wang J., Shao Y., Jiang H., An Y., A multi-variable hybrid system for port container throughput deterministic and uncertain forecasting, (2024) Expert Systems with Applications, DOI: 10.1016/j.eswa.2023.121546

43.      Guo H., Wang J., Li Z., Lu H., Zhang L., A non-ferrous metal price ensemble prediction system based on innovative combined kernel extreme learning machine and chaos theory, (2022) Resources Policy, DOI: 10.1016/j.resourpol.2022.102975

44.      Wang J., Qian Y., Gao Y., Lv M., Zhou Y., A combined prediction system for PM2.5 concentration integrating spatio-temporal correlation extracting, multi-objective optimization weighting and non-parametric estimation, (2023) Atmospheric Pollution Research, DOI: 10.1016/j.apr.2023.101880

45.      Zhao Y., Wang J., Niu T., Wang Y., Lv M., A novel fuzzification-forecasting-optimization ensemble system for wind speed based on fuzzy theory and a multiobjective optimizer, (2024) Applied Intelligence, DOI: 10.1007/s10489-024-05350-z

46.      Wang J., Wang K., Li Z., Lu H., Jiang H., Short-term power load forecasting system based on rough set, information granule and multi-objective optimization, (2023) Applied Soft Computing, DOI: 10.1016/j.asoc.2023.110692

47.      Cao Z., Wang J., Xia Y., Combined electricity load-forecasting system based on weighted fuzzy time series and deep neural networks, (2024) Engineering Applications of Artificial Intelligence, DOI: 10.1016/j.engappai.2024.108375

48.      Xu Y., Yu Q., Du P., Wang J., A paradigm shift in solar energy forecasting: A novel two-phase model for monthly residential consumption, (2024) Energy, DOI: 10.1016/j.energy.2024.132192

49.      Wang J., Wang S., Lv M., Jiang H., Forecasting VaR and ES by using deep quantile regression, GANs-based scenario generation, and heterogeneous market hypothesis, (2024) Financial Innovation, DOI: 10.1186/s40854-023-00564-5

50.      Liu Z., Li P., Wei D., Wang J., Zhang L., Niu X., Forecasting system with sub-model selection strategy for photovoltaic power output forecasting, (2023) Earth Science Informatics, DOI: 10.1007/s12145-023-00938-4

51.      Jiang H., Dong Y., Wang J., Electricity price forecasting using quantile regression averaging with nonconvex regularization, (2024) Journal of Forecasting, DOI: 10.1002/for.3103

52.      Wang J., Zhou Y., Jiang H., A novel interval forecasting system based on multi-objective optimization and hybrid data reconstruct strategy, (2023) Expert Systems with Applications, DOI: 10.1016/j.eswa.2023.119539

53.      Wang X., An Y., Wang J., Shao Y., A Novel Prediction-Integration Forecasting System for Short Wind Speed Based on Combined Data Preprocessing Technique and Weight Determination Strategy, (2024) Energy Technology, DOI: 10.1002/ente.202300889

54.      Jiang P., Liu Z., Zhang L., Wang J., Hybrid model for profit-driven churn prediction based on cost minimization and return maximization, (2023) Expert Systems with Applications, DOI: 10.1016/j.eswa.2023.120354

55.      Xu Y., Lin T., Du P., Wang J., An innovative interval grey model for construction waste forecasting, (2024) Applied Mathematical Modelling, DOI: 10.1016/j.apm.2023.10.013

56.      Wang J., Qian Y., Zhang L., Wang K., Zhang H., A novel wind power forecasting system integrating time series refining, nonlinear multi-objective optimized deep learning and linear error correction, (2024) Energy Conversion and Management, DOI: 10.1016/j.enconman.2023.117818

57.      Zhang L., Wang J., Qian Y., Li Z., Photovoltaic power prediction system based on multi-stage data processing strategy and improved optimizer, (2024) Applied Mathematical Modelling, DOI: 10.1016/j.apm.2024.04.042

58.      Gao Y., Li P., Yang H., Wang J., A solar radiation intelligent forecasting framework based on feature selection and multivariable fuzzy time series, (2023) Engineering Applications of Artificial Intelligence, DOI: 10.1016/j.engappai.2023.106986

59.      Jiang H., Pan S., Dong Y., Wang J., Probabilistic electricity price forecasting based on penalized temporal fusion transformer, (2024) Journal of Forecasting, DOI: 10.1002/for.3084

60.      Jiang P., Liu Z., Abedin M.Z., Wang J., Yang W., Dong Q., Profit-driven weighted classifier with interpretable ability for customer churn prediction, (2024) Omega (United Kingdom), DOI: 10.1016/j.omega.2024.103034

61.      Cui H., Guo H., Wang J., Wang Y., Point and interval forecasting for wine prices: an approach based on artificial intelligence, (2024) International Journal of Contemporary Hospitality Management, DOI: 10.1108/IJCHM-05-2023-0652

62.      Wang J., Lv M., Li Z., Zeng B., Multivariate selection-combination short-term wind speed forecasting system based on convolution-recurrent network and multi-objective chameleon swarm algorithm, (2023) Expert Systems with Applications, DOI: 10.1016/j.eswa.2022.119129

63.      Liu L., Zhou S., Jie Q., Du P., Xu Y., Wang J., A robust time-varying weight combined model for crude oil price forecasting, (2024) Energy, DOI: 10.1016/j.energy.2024.131352

64.      Cao Z., Wang J., Yin L., Wei D., Xiao Y., A hybrid electricity load prediction system based on weighted fuzzy time series and multi-objective differential evolution, (2023) Applied Soft Computing, DOI: 10.1016/j.asoc.2023.111007

65.      Li S., Wang J., Zhang H., Liang Y., Solar photovoltaic power forecasting system with online manner based on adaptive mode decomposition and multi-objective optimization, (2024) Computers and Electrical Engineering, DOI: 10.1016/j.compeleceng.2024.109407

66.      Dong Y., Wang J., Research on hybrid electricity demand forecasting system based on sunflower optimization and completely non-recursive decomposition strategy, (2023) Environmental and Ecological Statistics, DOI: 10.1007/s10651-023-00569-4

67.      Zheng J., Wang J., Short-term wind speed forecasting based on recurrent neural networks and Levy crystal structure algorithm, (2024) Energy, DOI: 10.1016/j.energy.2024.130580

68.      Xia Y., Wang J., Zhang Z., Wei D., Cao Z., Li Z., A wind speed point-interval fuzzy forecasting system based on data decomposition and multiobjective optimizer. (2024) Applied Soft Computing, DOI: 10.1016/j.asoc.2024.112084

69.      Wang J., Wang Y., Li H., Yang H., Li Z., Ensemble forecasting system based on decomposition-selection-optimization for point and interval carbon price prediction, (2023) Applied Mathematical Modelling, DOI: 10.1016/j.apm.2022.09.004

70.      Yang C., Wang J., A novel combined wind speed forecasting system based on fuzzy granulation and multi-objective optimization, (2024) Journal of Renewable and Sustainable Energy, DOI: 10.1063/5.0175387

71.      Cui H., Zhang L., Yang H., Wang J., Liu Z., Maximizing the lender’s profit: profit-oriented loan default prediction based on a weighting model, (2024) Annals of Operations Research, DOI: 10.1007/s10479-024-05912-x

72.      Wang X., Wang J., Niu X., Wu C., Novel wind-speed prediction system based on dimensionality reduction and nonlinear weighting strategy for point-interval prediction, (2024) Expert Systems with Applications, DOI: 10.1016/j.eswa.2023.122477

73.      Xia Y., Wang J., Wei D., Zhang Z., Combined framework based on data preprocessing and multi-objective optimizer for electricity load forecasting, (2023) Engineering Applications of Artificial Intelligence, DOI: 10.1016/j.engappai.2022.105776

74.      Zeng B., Zheng T., Yang Y., Wang J., A novel grey Verhulst model with four parameters and its application to forecast the carbon dioxide emissions in China, (2023) Science of the Total Environment, DOI: 10.1016/j.scitotenv.2023.165648

75.      Li S., Wang J., Zhang H., Liang Y., Short-term load forecasting system based on sliding fuzzy granulation and equilibrium optimizer, (2023) Applied Intelligence, DOI: 10.1007/s10489-023-04599-0

76.      Liu J., Wang J., Niu Y., Ji B., Gu L., A point-interval wind speed forecasting system based on fuzzy theory and neural networks architecture searching strategy, (2024) Engineering Applications of Artificial Intelligence, DOI: 10.1016/j.engappai.2024.107906

77.      Wang J., Lv M., Wang S., Gao J., Zhao Y., Wang Q., Can multi-period auto-portfolio systems improve returns? Evidence from Chinese and U.S. stock markets, (2024) International Review of Financial Analysis, DOI: 10.1016/j.irfa.2024.103418

78.      Sun Y., Ding J., Liu Z., Wang J., Combined forecasting tool for renewable energy management in sustainable supply chains, (2023) Computers and Industrial Engineering, DOI: 10.1016/j.cie.2023.109237

79.      Yang Y., Xing Q., Wang K., Li C., Wang J., Huang X., A novel combined probabilistic load forecasting system integrating hybrid quantile regression and knee improved multi-objective optimization strategy, (2024) Applied Energy, DOI: 10.1016/j.apenergy.2023.122341

80.      Wang J., Guo H., Song A., Photovoltaic power combination prediction system based on improved multi-objective optimization algorithm and nonlinear weighting strategy, (2023) Expert Systems, DOI: 10.1111/exsy.13209

81.      Zhang H., Wang J., Qian Y., Li Q., Point and interval wind speed forecasting of multivariate time series based on dual-layer LSTM, (2024) Energy, DOI: 10.1016/j.energy.2024.130875

82.      Sun P., Liu Z., Wang J., Zhao W., Interval forecasting for wind speed using a combination model based on multiobjective artificial hummingbird algorithm, (2024) Applied Soft Computing, DOI: 10.1016/j.asoc.2023.111090

83.      Niu Y., Wang J., Zhang Z., Yu Y., Liu J., A combined interval prediction system based on fuzzy strategy and neural network for wind speed, (2024) Applied Soft Computing, DOI: 10.1016/j.asoc.2024.111408

84.      Li J., Wang J., Zhang H., Li Z., An innovative combined model based on multi-objective optimization approach for forecasting short-term wind speed: A case study in China, (2022) Renewable Energy, DOI: 10.1016/j.renene.2022.10.123

85.      Zhang Z., Wang J., Xia Y., Wei D., Niu Y., Solar-Mixer: An Efficient End-to-End Model for Long-Sequence Photovoltaic Power Generation Time Series Forecasting, (2023) IEEE Transactions on Sustainable Energy, DOI: 10.1109/TSTE.2023.3268100

86.      Dong Y., Jiang H., Guo Y., Wang J., A novel crude oil price forecasting model using decomposition and deep learning networks, (2024) Engineering Applications of Artificial Intelligence, DOI: 10.1016/j.engappai.2024.108111

87.      Shi X., Wang J., Zhang B., A fuzzy time series forecasting model with both accuracy and interpretability is used to forecast wind power, (2024) Applied Energy, DOI: 10.1016/j.apenergy.2023.122015

88.      Gao J., Wang J., Wei D., Jiang H., Combined Interval Prediction Algorithm Based on Optimal Relevancy, Redundancy and Synergy, (2023) Applied Mathematical Modelling, DOI: 10.1016/j.apm.2023.06.040

89.      Zeng B., Chen G., Meng W., Wang J., Prediction, analysis and suggestions of shale gas production in China based on a new grey model with four parameters, (2024) Alexandria Engineering Journal, DOI: 10.1016/j.aej.2023.11.049

90.      Zhang Z., Wang J., Wei D., Luo T., Xia Y., A novel ensemble system for short-term wind speed forecasting based on Two-stage Attention-Based Recurrent Neural Network, (2023) Renewable Energy, DOI: 10.1016/j.renene.2022.12.120

91.      Xu Y., Lin T., Du P., Wang J., The research on a novel multivariate grey model and its application in carbon dioxide emissions prediction, (2024) Environmental Science and Pollution Research, DOI: 10.1007/s11356-024-32262-9

92.      Niu Y., Wang J., Zhang Z., Luo T., Liu J., De-Trend First, Attend Next: A Mid-Term PV forecasting system with attention mechanism and encoder–decoder structure, (2024) Applied Energy, DOI: 10.1016/j.apenergy.2023.122169

93.      Dong Y., Wang J., Wang R., Jiang H., Accurate combination forecasting of wave energy based on multi objective optimization and fuzzy information granulation, (2023) Journal of Cleaner Production, DOI: 10.1016/j.jclepro.2022.135772

94.      Wang S., Wang J., Zeng B., Zhao W., A structure for predicting wind speed using fuzzy granulation and optimization techniques, (2024) Applied Intelligence, DOI: 10.1007/s10489-023-04906-9

95.      Wang J., Zhang L., Liu Z., Huang X., Tourism Demand Interval Forecasting Amid COVID-19: A Hybrid Model With a Modified Multi-Objective Optimization Algorithm, (2024) Journal of Hospitality and Tourism Research, DOI: 10.1177/10963480221142873

96.      Jiang H., Dong Y., Dong Y., Wang J., Power load forecasting based on spatial–temporal fusion graph convolution network, (2024) Technological Forecasting and Social Change, DOI: 10.1016/j.techfore.2024.123435

97.      Xia Y., Wang J., Zhang Z., Wei D., Yin L., Short-term PV power forecasting based on time series expansion and high-order fuzzy cognitive maps, (2023) Applied Soft Computing, DOI: 10.1016/j.asoc.2023.110037

98.      Zhang L., Wang J., Li Z., Zeng B., Huang X., Uncertainty quantification of PM2.5 concentrations using a hybrid model based on characteristic decomposition and fuzzy granulation, (2022) Journal of Environmental Management, DOI: 10.1016/j.jenvman.2022.116282

99.      Qian Y., Wang J., Zhang H., Zhang L., Research of a combination system based on fuzzy sets and multi-objective marine predator algorithm for point and interval prediction of wind speed, (2023) Environmental Science and Pollution Research, DOI: 10.1007/s11356-022-23773-4

100.  Zhang L., Wang J., Liu Z., Power grid operation optimization and forecasting using a combined forecasting system, (2023) Journal of Forecasting, DOI: 10.1002/for.2888

101.  An Y., Wang J., Lu H., Zhao W., Research of a combined wind speed model based on multi-objective ant lion optimization algorithm, (2021) International Transactions on Electrical Energy Systems, DOI: 10.1002/2050-7038.1318

102.  Du P., Wang J., Yang W., Niu T, Point and interval forecasting for metal prices based on variational mode decomposition and an optimized outlier-robust extreme learning machine, (2020) Resources Policy, DOI: 10.1016/j.resourpol.2020.101881

103.  Wang J., Wang Y., Li Z., Li H., Yang H., Design of a combined system based on multi-objective optimization for point and interval forecasting of air pollution, (2022) Expert Systems with Applications, DOI: 10.1016/j.eswa.2021.116345

104.  Guo H., Wang J., Li Z., Jin Y., A multivariable hybrid prediction system of wind power based on outlier test and innovative multi-objective optimization, (2022) Energy, DOI: 10.1016/j.energy.2021.122333

105.  He X., Nie Y., Guo H., Wang J., Research on a novel combination system on the basis of deep learning and swarm intelligence optimization algorithm for wind speed forecasting, (2020) IEEE Access, DOI: 10.1109/ACCESS.2020.2980562

106.  Wang J., Niu T., Du P., Yang W., Ensemble probabilistic prediction approach for modeling uncertainty in crude oil price, (2020) Applied Soft Computing Journal, DOI: 10.1016/j.asoc.2020.106509

107.  Colmenares A., Wang J., Double ensemble system for wind energy forecasting based on generalized autoregressive conditional heteroskedasticity and neural network models with variational mode decomposition, (2021) Energy Sources, Part A: Recovery, Utilization and Environmental Effects, DOI: 10.1080/15567036.2021.1922550

108.  Zhang W., Zhang L., Wang J., Niu X., Hybrid system based on a multi-objective optimization and kernel approximation for multi-scale wind speed forecasting, (2020) Applied Energy, DOI: 10.1016/j.apenergy.2020.115561

109.  Wu C., Wang J., Hao Y., Deterministic and uncertainty crude oil price forecasting based on outlier detection and modified multi-objective optimization algorithm, (2022) Resources Policy, DOI: 10.1016/j.resourpol.2022.102780

110.  Wang J., Zhang L., Liu Z., Niu X., A novel decomposition-ensemble forecasting system for dynamic dispatching of smart grid with sub-model selection and intelligent optimization, (2022) Expert Systems with Applications, DOI: 10.1016/j.eswa.2022.117201

111.  Wang J., Wang Y., Li Z., Li H., Yang H., A combined framework based on data preprocessing, neural networks and multi-tracker optimizer for wind speed prediction, (2020) Sustainable Energy Technologies and Assessments, DOI: 10.1016/j.seta.2020.100757

112.  Jiang P., Liu Z., Wang J., Zhang L, Decomposition-selection-ensemble forecasting system for energy futures price forecasting based on multi-objective version of chaos game optimization algorithm, (2021) Resources Policy, DOI: 10.1016/j.resourpol.2021.102234

113.  Wang J., Wang S., Zeng B., Lu H., A novel ensemble probabilistic forecasting system for uncertainty in wind speed, (2022) Applied Energy, DOI: 10.1016/j.apenergy.2022.118796

114.  Wang J., Wang R., Li Z., A combined forecasting system based on multi-objective optimization and feature extraction strategy for hourly PM2.5 concentration, (2022) Applied Soft Computing, DOI: 10.1016/j.asoc.2021.108034

115.  Wang J., Du P., Quarterly PM2.5 prediction using a novel seasonal grey model and its further application in health effects and economic loss assessment: evidences from Shanghai and Tianjin, China, (2021) Natural Hazards, DOI: 10.1007/s11069-021-04614-y

116.  Bo H., Nie Y., Wang J., Electric Load Forecasting Use a Novelty Hybrid Model on the Basic of Data Preprocessing Technique and Multi-Objective Optimization algorithm, (2020) IEEE Access, DOI: 10.1109/aCCESS.2020.2966641

117.  Hao Y., Zhou Y., Gao J., Wang J., A Novel Air Pollutant Concentration Prediction System Based on Decomposition-Ensemble Mode and Multi-Objective Optimization for Environmental System Management, (2022) Systems, DOI: 10.3390/systems10050139

118.  Wang J., Zhang L., Li Z., Interval forecasting system for electricity load based on data pre-processing strategy and multi-objective optimization algorithm, (2022) Applied Energy, DOI: 10.1016/j.apenergy.2021.117911

119.  Niu T., Wang J., Lu H., Yang W., Du P., Developing a deep learning framework with two-stage feature selection for multivariate financial time series forecasting, (2020) Expert Systems with Applications, DOI: 10.1016/j.eswa.2020.113237

120.  Wang J., Niu X., Liu Z., Zhang L., Analysis of the influence of international benchmark oil price on China's real exchange rate forecasting, (2020) Engineering Applications of Artificial Intelligence, DOI: 10.1016/j.engappai.2020.103783

121.  Wang J., Li Q., Ma X., Lu H., Distribution parameter-determining method comparison for airborne wind energy potential assessment in the eastern coastal area of China, (2022) Sustainable Energy Technologies and Assessments, DOI: 10.1016/j.seta.2022.102161

122.  Liu T., Zhao Q., Wang J., Gao Y., A novel interval forecasting system for uncertainty modeling based on multi-input multi-output theory: A case study on modern wind stations, (2021) Renewable Energy, DOI: 10.1016/j.renene.2020.08.13

123.  Wang Y., Wang J., Li Z., A novel hybrid air quality early-warning system based on phase-space reconstruction and multi-objective optimization: A case study in China, (2020) Journal of Cleaner Production, DOI: 10.1016/j.jclepro.2020.121027

124.  Jiang P., Liu Z., Zhang L., Wang J., Advanced traffic congestion early warning system based on traffic flow forecasting and extenics evaluation, (2022) Applied Soft Computing, DOI: 10.1016/j.asoc.2022.108544

125.  Wang J., Niu T., Lu H., Yang W., Du P., A Novel Framework of Reservoir Computing for Deterministic and Probabilistic Wind Power Forecasting, (2020) IEEE Transactions on Sustainable Energy, DOI: 10.1109/TSTE.2019.2890875

126.  Wang K., Wang J., Zeng B., Lu H., An integrated power load point-interval forecasting system based on information entropy and multi-objective optimization, (2022) Applied Energy, DOI: 10.1016/j.apenergy.2022.118938

127.  Du P., Wang J.-Z., Health Benefit Assessment of PM2.5 Pollution Control in Beijing , (2021) Huanjing Kexue/Environmental Science, DOI: 10.13227/j.hjkx.202005225

128.  Yang W., Wang J., Niu T., Du P., A novel system for multi-step electricity price forecasting for electricity market management, (2020) Applied Soft Computing Journal, DOI: 10.1016/j.asoc.2019.106029

129.  Wang J., An Y., Li Z., Lu H., A novel combined forecasting model based on neural networks, deep learning approaches, and multi-objective optimization for short-term wind speed forecasting, (2022) Energy, DOI: 10.1016/j.energy.2022.123960

130.  Luo L., Li H., Wang J., Hu J., Design of a combined wind speed forecasting system based on decomposition-ensemble and multi-objective optimization approach, (2021) Applied Mathematical Modelling, DOI: 10.1016/j.apm.2020.07.019

131.  Bai L., Liu Z., Wang J., Novel hybrid extreme learning machine and multi-objective optimization algorithm for air pollution prediction, (2022) Applied Mathematical Modelling, DOI: 10.1016/j.apm.2022.01.023

132.  Wang S., Wang J., Lu H., Zhao W., A novel combined model for wind speed prediction – Combination of linear model, shallow neural networks, and deep learning approaches, (2021) Energy, DOI: 10.1016/j.energy.2021.121275

133.  Wang J., Wang S., Li Z., Wind speed deterministic forecasting and probabilistic interval forecasting approach based on deep learning, modified tunicate swarm algorithm, and quantile regression, (2021) Renewable Energy, DOI: 10.1016/j.renene.2021.07.113

134.  Zhang L., Wang J., Niu X., Wind speed prediction system based on data pre-processing strategy and multi-objective dragonfly optimization algorithm, (2021) Sustainable Energy Technologies and Assessments, DOI: 10.1016/j.seta.2021.101346

135.  Liu Z., Jiang P., Wang J., Zhang L., Ensemble system for short term carbon dioxide emissions forecasting based on multi-objective tangent search algorithm, (2022) Journal of Environmental Management, DOI: 10.1016/j.jenvman.2021.113951

136.  Wei D., Wang J., Li Z., Wang R., Wind Power Curve Modeling with Hybrid Copula and Grey Wolf Optimization, (2022) IEEE Transactions on Sustainable Energy, DOI: 10.1109/TSTE.2021.3109044

137.  Wang J., Zhang L., Niu X., Liu Z., Effects of PM2.5 on health and economic loss: Evidence from Beijing-Tianjin-Hebei region of China, (2020) Journal of Cleaner Production, DOI: 10.1016/j.jclepro.2020.120605

138.  Hao Y., Niu X., Wang J., Impacts of haze pollution on China's tourism industry: A system of economic loss analysis, (2021) Journal of Environmental Management, DOI: 10.1016/j.jenvman.2021.113051

139.  Jin Y., Guo H., Wang J., Song A., A hybrid system based on LSTM for short-term power load forecasting, (2020) Energies, DOI: 10.3390/en13236241

140.  Gao Y., Wang J., Yang H., A multi-component hybrid system based on predictability recognition and modified multi-objective optimization for ultra-short-term onshore wind speed forecasting, (2022) Renewable Energy, DOI: 10.1016/j.renene.2022.02.005

141.  Wang J., Zhou Y., Li Z., Hour-ahead photovoltaic generation forecasting method based on machine learning and multi objective optimization algorithm, (2022) Applied Energy, DOI: 10.1016/j.apenergy.2022.118725

142.  Luo H., Zhang H., Wang J., Ensemble power load forecasting based on competitive-inhibition selection strategy and deep learning, (2022) Sustainable Energy Technologies and Assessments, DOI: 10.1016/j.seta.2021.101940

143.  Zhang L., Wang J., Niu X., Liu Z., Ensemble wind speed forecasting with multi-objective Archimedes optimization algorithm and sub-model selection, (2021) Applied Energy, DOI: 10.1016/j.apenergy.2021.117449

144.  Zhou W., Zeng B., Wang J., Luo X., Liu X., Forecasting Chinese carbon emissions using a novel grey rolling prediction model, (2021) Chaos, Solitons and Fractals, DOI: 10.1016/j.chaos.2021.110968

145.  Wang J., Li H., Yang H., Wang Y., Intelligent multivariable air-quality forecasting system based on feature selection and modified evolving interval type-2 quantum fuzzy neural network, (2021) Environmental Pollution, DOI: 10.1016/j.envpol.2021.116429

146.  Zhou Y., Wang J., Li Z., Lu H., Short-term photovoltaic power forecasting based on signal decomposition and machine learning optimization, (2022) Energy Conversion and Management, DOI: 10.1016/j.enconman.2022.115944

147.  Du P., Wang J., Hao Y., Niu T., Yang W., A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting, (2020) Applied Soft Computing Journal, DOI: 10.1016/j.asoc.2020.106620

148.  Wang J., Niu X., Zhang L., Liu Z., Wei D., The influence of international oil prices on the exchange rates of oil exporting countries: Based on the hybrid copula function, (2022) Resources Policy, DOI: 10.1016/j.resourpol.2022.102734

149.  Nie Y., Liang N., Wang J., Ultra-short-term wind-speed bi-forecasting system via artificial intelligence and a double-forecasting scheme, (2021) Applied Energy, DOI: 10.1016/j.apenergy.2021.117452

150.  Wang J., Cheng Z., Wind speed interval prediction model based on variational mode decomposition and multi-objective optimization, (2021) Applied Soft Computing, DOI: 10.1016/j.asoc.2021.107848

151.  Wang J., Du P., Hao Y., Ma X., Niu T., Yang W., An innovative hybrid model based on outlier detection and correction algorithm and heuristic intelligent optimization algorithm for daily air quality index forecasting, (2020) Journal of Environmental Management, DOI: 10.1016/j.jenvman.2019.109855

152.  Wang Y., Wang J., Li H., Yang H., Li Z., Multi-step air quality index forecasting via data preprocessing, sequence reconstruction, and improved multi-objective optimization algorithm, (2022) Journal of Forecasting, DOI: 10.1002/for.2872

153.  Wang J., Li Q., Zeng B., Multi-layer cooperative combined forecasting system for short-term wind speed forecasting, (2021) Sustainable Energy Technologies and Assessments, DOI: 10.1016/j.seta.2020.100946

154.  Yu Y., Wang J., Liu Z., Zhao W., A combined forecasting strategy for the improvement of operational efficiency in wind farm, (2021) Journal of Renewable and Sustainable Energy, DOI: 10.1063/5.0065937

155.  Wang J., Niu X., Zhang L., Lv M., Point and interval prediction for non-ferrous metals based on a hybrid prediction framework, (2021) Resources Policy, DOI: 10.1016/j.resourpol.2021.102222

156.  Wu C., Wang J., Chen X., Du P., Yang W., A novel hybrid system based on multi-objective optimization for wind speed forecasting, (2020) Renewable Energy, DOI: 10.1016/j.renene.2019.04.157

157.  Du P., Wang J., Yang W., Niu T., A novel hybrid fine particulate matter (PM2.5) forecasting and its further application system: Case studies in China, (2022) Journal of Forecasting, DOI: 10.1002/for.2785

158.  Xing Q., Wang J., Lu H., Wang S., Research of a novel short-term wind forecasting system based on multi-objective Aquila optimizer for point and interval forecast, (2022) Energy Conversion and Management, DOI: 10.1016/j.enconman.2022.115583

159.  Gao Y., Wang J., Zhang X., Li R., Ensemble wind speed prediction system based on envelope decomposition method and fuzzy inference evaluation of predictability, (2022) Applied Soft Computing, DOI: 10.1016/j.asoc.2022.109010

160.  Liu Z., Jiang P., Wang J., Zhang L., Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm, (2021) Expert Systems with Applications, DOI: 10.1016/j.eswa.2021.114974

161.  Wang J., Zhang H., Luo H., Research on the construction of stock portfolios based on multiobjective water cycle algorithm and KMV algorithm, (2022) Applied Soft Computing, DOI: 10.1016/j.asoc.2021.108186

162.  Wang Y., Wang J., Li Z., Yang H., Li H., Design of a combined system based on two-stage data preprocessing and multi-objective optimization for wind speed prediction, (2021) Energy, DOI: 10.1016/j.energy.2021.121125

163.  Niu X., Wang J., Zhang L., Carbon price forecasting system based on error correction and divide-conquer strategies, (2022) Applied Soft Computing, DOI: 10.1016/j.asoc.2021.107935

164.  Wei D., Wang J., Niu X., Li Z., Wind speed forecasting system based on gated recurrent units and convolutional spiking neural networks, (2021) Applied Energy, DOI: 10.1016/j.apenergy.2021.116842

165.  Li D., Yin L., Wang J., Wu N., Game current-state opacity formulation in probabilistic resource automata, (2022) Information Sciences, DOI: 10.1016/j.ins.2022.09.030

166.  Guo T., Zhang L., Liu Z., Wang J., A Combined Strategy for Wind Speed Forecasting Using Data Preprocessing and Weight Coefficients Optimization Calculation, (2020) IEEE Access, DOI: 10.1109/ACCESS.2020.297374

167.  Dong Y., Zhang L., Liu Z., Wang J., Integrated forecasting method for wind energy management: A case study in China, (2020) Processes, DOI: 10.3390/pr8010035

168.  Wang J., Zhang L., Wang C., Liu Z., A regional pretraining-classification-selection forecasting system for wind power point forecasting and interval forecasting, (2021) Applied Soft Computing, DOI: 10.1016/j.asoc.2021.107941

169.  Zhou Y., Wang J., Lu H., Zhao W., Short-term wind power prediction optimized by multi-objective dragonfly algorithm based on variational mode decomposition, (2022) Chaos, Solitons and Fractals, DOI: 10.1016/j.chaos.2022.111982

170.  Yang W., Tang G., Hao Y., Wang J., A novel framework for forecasting, evaluation and early-warning for the influence of PM10 on public health, (2021) Atmosphere, DOI: 10.3390/atmos12081020

171.  Li Q., Wang J., Zhang H., Comparison of the goodness-of-fit of intelligent-optimized wind speed distributions and calculation in high-altitude wind-energy potential assessment, (2021) Energy Conversion and Management, DOI: 10.1016/j.enconman.2021.114737

172.  Jiang P., Liu Z., Wang J., Zhang L., Decomposition-Selection-Ensemble Prediction System for Short-Term Wind Speed Forecasting, (2022) Electric Power Systems Research, DOI: 10.1016/j.epsr.2022.108186

173.  Li H., Wang J., Yang H., A novel dynamic ensemble air quality index forecasting system, (2020) Atmospheric Pollution Research, DOI: 10.1016/j.apr.2020.04.010

174.  Wang J., Li H., Lu H., Yang H., Wang C., Integrating offline logistics and online system to recycle e-bicycle battery in China, (2020) Journal of Cleaner Production, DOI: 10.1016/j.jclepro.2019.119095

175.  Du P., Wang J., Niu T., Yang W., PM2.5 prediction and related health effects and economic cost assessments in 2020 and 2021: Case studies in Jing-Jin-Ji, China, (2021) Knowledge-Based Systems, DOI: 10.1016/j.knosys.2021.107487

176.  Li Q., Wang J., Zhang H., A wind speed interval forecasting system based on constrained lower upper bound estimation and parallel feature selection, (2021) Knowledge-Based Systems, DOI: 10.1016/j.knosys.2021.107435

177.  Wang J., Yang W., Du P., Niu T., Outlier-robust hybrid electricity price forecasting model for electricity market management, (2020) Journal of Cleaner Production, DOI: 10.1016/j.jclepro.2019.119318

178.  Wang J., Gao Y., An integrated forecasting system based on knee-based multi-objective optimization for solar radiation interval forecasting, (2022) Expert Systems with Applications, DOI: 10.1016/j.eswa.2022.116934

179.  Li H., Zeng B., Wang J., Wu H., Forecasting the number of new coronavirus infections using an improved grey prediction model, (2021) Iranian Journal of Public Health

180.  Shao Y., Wang J., Zhang H., Zhao W., An advanced weighted system based on swarm intelligence optimization for wind speed prediction, (2021) Applied Mathematical Modelling, DOI: 10.1016/j.apm.2021.07.024

181.  Huang X., Wang J., Huang B., Two novel hybrid linear and nonlinear models for wind speed forecasting, (2021) Energy Conversion and Management, DOI: 10.1016/j.enconman.2021.114162

182.  Li H., Wang J., Yang H., Wang Y., Air quality deterministic and probabilistic forecasting system based on hesitant fuzzy sets and nonlinear robust outlier correction, (2022) Knowledge-Based Systems, DOI: 10.1016/j.knosys.2021.107789

183.  Wang J., Li H., Wang Y., Yang H., A novel assessment and forecasting system for traffic accident economic loss caused by air pollution, (2021) Environmental Science and Pollution Research, DOI: 10.1007/s11356-021-13595-1

184.  Dong Y., Li J., Liu Z., Niu X., Wang J., Ensemble wind speed forecasting system based on optimal model adaptive selection strategy: Case study in China, (2022) Sustainable Energy Technologies and Assessments, DOI: 10.1016/j.seta.2022.102535

185.  Wang J., Li H., Wang Y., Lu H., A hesitant fuzzy wind speed forecasting system with novel defuzzification method and multi-objective optimization algorithm, (2021) Expert Systems with Applications, DOI: 10.1016/j.eswa.2020.114364

186.  Wang J., Gao J., Wei D., Electric load prediction based on a novel combined interval forecasting system, (2022) Applied Energy, DOI: 10.1016/j.apenergy.2022.119420

187.  Lv M., Li J., Niu X., Wang J., Novel deterministic and probabilistic combined system based on deep learning and self-improved optimization algorithm for wind speed forecasting, (2022) Sustainable Energy Technologies and Assessments, DOI: 10.1016/j.seta.2022.102186

188.  Niu T., Wang J., Lu H., Yang W., Du P., A Learning System Integrating Temporal Convolution and Deep Learning for Predictive Modeling of Crude Oil Price, (2021) IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2020.3016594

Research Grants

2022 -- 2023 Power Grid Load Modeling and Forecasting Based on Neural Networks (Macau University of Science and Technology)

2023 -- 2024 Systematic Research on Distributed photovoltaics for Sustainable and Collaborative Development of Urban participation Energy in the Era of Artificial Intelligence and its application in the Guangdong-Hong Kong-Macao Greater Bay Area (Macao Science and Technology Development Foundation Committee)

Patents

4 computer software copyrights were approved in 2018.

Professional Certification and Awards

1. Professor Wang Jianzhou received the Special government Allowance of The State Council of China in 2018.

2. For three consecutive years, Professor Wang Jianzhou has been selected to the Clarivate Global List of Highly Cited Scientists in Interdisciplinary fields and Engineering fields. He has been included in Elsevier's list of the most cited scholars in Statistics and Mathematics in China for five consecutive years, and has been included in the Lifetime Scientific Influence list and the annual Scientific Influence list of the "World's Top 2% Top Scientists" in the field of artificial intelligence and energy of Stanford University for five consecutive years.

3. The paper A case study on a hybrid wind speed forecasting method using BP neural network was published by the world's largest science and technology Press Elsevier, which is one of the most popular 25 (top) articles in 2013 (No. 3 in mathematics, No. 21 in engineering, and No. 22 in computer science).

Student Awards

At the 5th iFLYTEK A.I. sponsored by IFlyTEK and co-sponsored by China Information Association and National Intelligent Voice Innovation Center In the Developer Competition, the student team of the Department of Engineering Science of the School of Innovation Engineering of Macau University of Science and Technology won the first place in the final of the competition "Lithium-ion Battery production parameter Control and production temperature Prediction" among 1699 participating teams.