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Engineering and Technology
China
2026

D-Index & Metrics

Engineering and Technology

D-Index
90
Citations
22461
World Ranking
277
National Ranking
49

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in China Leader Award
  • 2025 - Research.com Engineering and Technology in China Leader Award

Overview

Jianzhou Wang is a researcher affiliated with Macau University of Science and Technology in China. Their scholarly work primarily falls within the field of Engineering, with a significant focus on subfields such as Electrical and Electronic Engineering, Management Science and Operations Research, Artificial Intelligence, Environmental Engineering, and Economics and Econometrics.

The main research topics explored by Jianzhou Wang include:

  • Energy Load and Power Forecasting
  • Grey System Theory Applications
  • Electric Power System Optimization
  • Solar Radiation and Photovoltaics
  • Stock Market Forecasting Methods
  • Air Quality Monitoring and Forecasting
  • Wind Energy Research and Development

Jianzhou Wang has published extensively across various academic venues, with frequent contributions to:

  • Expert Systems with Applications
  • Applied Soft Computing
  • Applied Energy
  • Engineering Applications of Artificial Intelligence
  • SSRN Electronic Journal

Some of the recent papers authored or co-authored by Jianzhou Wang include:

  • 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
  • A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting (2020), Applied Soft Computing
  • Developing a deep learning framework with two-stage feature selection for multivariate financial time series forecasting (2020), Expert Systems with Applications
  • Forecasting Chinese carbon emissions using a novel grey rolling prediction model (2021), Chaos Solitons & Fractals
  • Impacts of haze pollution on China's tourism industry: A system of economic loss analysis (2021), Journal of Environmental Management

Collaborations form a notable part of Jianzhou Wang's research activity. Frequent co-authors include:

  • Zhenkun Liu
  • Zhiwu Li
  • Lifang Zhang
  • Xinsong Niu
  • Mengzheng Lv

The diverse topics and publication venues indicate a multidisciplinary approach with a strong foundation in engineering methodologies, optimization algorithms, and environmental and financial forecasting systems. This body of work reflects ongoing engagement with contemporary challenges related to power systems, air quality, and economic modeling.

Best Publications

  • Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model

    Zhenhai Guo;Weigang Zhao;Haiyan Lu;Jianzhou Wang

  • Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting

    Chao Ren;Ning An;Jianzhou Wang;Lian Li

  • Stock index forecasting based on a hybrid model

    Ju-Jie Wang;Jian-Zhou Wang;Zhe-George Zhang;Zhe-George Zhang;Shu-Po Guo

  • Air Pollution Forecasts: An Overview

    Lu Bai;Jianzhou Wang;Xuejiao Ma;Haiyan Lu

  • A case study on a hybrid wind speed forecasting method using BP neural network

    Zhen-hai Guo;Jie Wu;Hai-yan Lu;Jian-zhou Wang

  • A robust combination approach for short-term wind speed forecasting and analysis – Combination of the ARIMA (Autoregressive Integrated Moving Average), ELM (Extreme Learning Machine), SVM (Support Vector Machine) and LSSVM (Least Square SVM) forecasts using a GPR (Gaussian Process Regression) model

    Jianzhou Wang;Jianming Hu

  • Short-term electric load forecasting based on singular spectrum analysis and support vector machine optimized by Cuckoo search algorithm

    Xiaobo Zhang;Jianzhou Wang;Kequan Zhang

  • A novel hybrid system based on a new proposed algorithm-Multi-Objective Whale Optimization Algorithm for wind speed forecasting

    Jianzhou Wang;Pei Du;Tong Niu;Wendong Yang

  • Short-term wind speed prediction using empirical wavelet transform and Gaussian process regression

    Jianming Hu;Jianzhou Wang

  • A novel hybrid model for short-term wind power forecasting

    Pei Du;Jianzhou Wang;Wendong Yang;Tong Niu

  • Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models

    Jianzhou Wang;Yiliao Song;Yiliao Song;Feng Liu;Feng Liu;Ru Hou

  • A novel combined model based on advanced optimization algorithm for short-term wind speed forecasting

    Jingjing Song;Jianzhou Wang;Haiyan Lu

  • Wind speed probability distribution estimation and wind energy assessment

    Jianzhou Wang;Jianming Hu;Kailiang Ma

  • A novel hybrid forecasting system of wind speed based on a newly developed multi-objective sine cosine algorithm

    Jianzhou Wang;Wendong Yang;Pei Du;Tong Niu

  • The Study and Application of a Novel Hybrid Forecasting Model — A Case Study of Wind Speed Forecasting in China

    Jian-Zhou Wang;Yun Wang;Ping Jiang

  • Can China realize its carbon emission reduction goal in 2020: From the perspective of thermal power development

    Unknown

  • A novel hybrid system based on multi-objective optimization for wind speed forecasting

    Chunying Wu;Jianzhou Wang;Xuejun Chen;Pei Du

  • Combined forecasting models for wind energy forecasting: A case study in China

    Ling Xiao;Jianzhou Wang;Yao Dong;Jie Wu

  • Air quality early-warning system for cities in China

    Yunzhen Xu;Wendong Yang;Jianzhou Wang

  • Research and application based on the swarm intelligence algorithm and artificial intelligence for wind farm decision system

    Xuejing Zhao;Chen Wang;Jinxia Su;Jianzhou Wang

  • An improved grey model optimized by multi-objective ant lion optimization algorithm for annual electricity consumption forecasting

    Jianzhou Wang;Pei Du;Haiyan Lu;Wendong Yang

  • Research and application of a novel hybrid forecasting system based on multi-objective optimization for wind speed forecasting

    Pei Du;Jianzhou Wang;Jianzhou Wang;Zhenhai Guo;Wendong Yang

  • A hybrid forecasting system based on a dual decomposition strategy and multi-objective optimization for electricity price forecasting

    Wendong Yang;Jianzhou Wang;Tong Niu;Pei Du

Frequent Co-Authors

Haiyan Lu
Haiyan Lu University of Technology Sydney
Zhiwu Li
Zhiwu Li Macau University of Science and Technology

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