Fei Wang

About Fei Wang

Fei Wang, With an exceptional h-index of 48 and a recent h-index of 43 (since 2020), a distinguished researcher at North China Electric Power University, specializes in the field of Smart Grid, Renewable Energy, Power Forecasting, Electricity Market, Demand Response.

His recent articles reflect a diverse array of research interests and contributions to the field:

An Air Conditioning Control Method Based on Non-measurement Thermal Comfort Standard Correction for Demand Response

Sub-region division based short-term regional distributed PV power forecasting method considering spatio-temporal correlations

A SVM Based Demand Response Capacity Prediction Model Considering Internal Factors under Composite Program

Joint Energy, Reserve, and Flexibility Scheduling of DERs in Power Distribution Networks

Multidimensional Feature Extraction Based Minutely Solar Irradiance Forecasting Method on Using All-sky Images

Optimal operation of microgrid with consideration of V2G's uncertainty

CNN-LSTM Networks Based Sand and Dust Storms Monitoring Model Using FY-4A Satellite Data

Dynamic directed graph convolution network based ultra‐short‐term forecasting method of distributed photovoltaic power to enhance the resilience and flexibility of distribution …

Fei Wang Information

University

Position

Professor of Electrical Engineering Director of SENIOR

Citations(all)

7639

Citations(since 2020)

6626

Cited By

2782

hIndex(all)

48

hIndex(since 2020)

43

i10Index(all)

113

i10Index(since 2020)

107

Email

University Profile Page

North China Electric Power University

Google Scholar

View Google Scholar Profile

Fei Wang Skills & Research Interests

Smart Grid

Renewable Energy

Power Forecasting

Electricity Market

Demand Response

Top articles of Fei Wang

Title

Journal

Author(s)

Publication Date

An Air Conditioning Control Method Based on Non-measurement Thermal Comfort Standard Correction for Demand Response

IEEE Transactions on Industry Applications

Xiaodong Chen

Kangping Li

Zengqiang Mi

Fei Wang

2024/2/13

Sub-region division based short-term regional distributed PV power forecasting method considering spatio-temporal correlations

Energy

Wenzhe Lai

Zhao Zhen

Fei Wang

Wenjie Fu

Junlong Wang

...

2024/2/1

A SVM Based Demand Response Capacity Prediction Model Considering Internal Factors under Composite Program

Energy

Xiaodong Chen

Xinxin Ge

Rongfu Sun

Fei Wang

Zengqiang Mi

2024/4/28

Joint Energy, Reserve, and Flexibility Scheduling of DERs in Power Distribution Networks

Niloofar Pourghaderi

Mahmud Fotuhi-Firuzabad

Milad Kabirifar

Payman Dehghanian

Matti Lehtonen

...

2024/1/8

Multidimensional Feature Extraction Based Minutely Solar Irradiance Forecasting Method on Using All-sky Images

IEEE Transactions on Industry Applications

Xinyue Wu

Zhao Zhen

Jianmei Zhang

Fei Wang

Fei Xu

...

2024/3/5

Optimal operation of microgrid with consideration of V2G's uncertainty

IET Generation, Transmission & Distribution

Zhengjie Luo

Hui Ren

Guoyu Xin

Mingkuo Xu

Fei Wang

...

2024/1

CNN-LSTM Networks Based Sand and Dust Storms Monitoring Model Using FY-4A Satellite Data

IEEE Transactions on Industry Applications

Zhao Zhen

Zihang Li

Fei Wang

Fei Xu

Guoqing Li

...

2024/3/5

Dynamic directed graph convolution network based ultra‐short‐term forecasting method of distributed photovoltaic power to enhance the resilience and flexibility of distribution …

IET Generation, Transmission & Distribution

Yuqing Wang

Wenjie Fu

Xudong Zhang

Zhao Zhen

Fei Wang

2024/1

Demand Response Potential Day-ahead Forecasting Approach Based on LSSA-BPNN Considering the Electricity-carbon Coupling Incentive Effects

IEEE Transactions on Industry Applications

Yiran Zhang

Xinxin Ge

Meiyi Li

Nan Li

Fei Wang

...

2024/3/5

A Data Augmentation-Based Household Profile Identification Approach Under Semi-supervised and Federated Learning Framework

Yingcai Shi

Xinxin Ge

Fei Wang

Haonan Dai

Yuntong Lv

...

2023/12/3

A Two-stage Short-term Load Forecasting Method Based on Comprehensive Similarity Day Selection and CEEMDAN-XGBoost Error Correction

Shuya Lei

Xiao Liang

Xuwei Xia

Haonan Dai

Chenhao Zhang

...

2023/6/12

Fluctuation pattern recognition based ultra-short-term wind power probabilistic forecasting method

Energy

Huijing Fan

Zhao Zhen

Nian Liu

Yiqian Sun

Xiqiang Chang

...

2023/3/1

IEEE PELS Students and Young Professionals Symposium 2023 Overview [Students and Young Professionals Rendezvous]

IEEE Power Electronics Magazine

Fei Wang

Chen Xu

Xiaokang Zhang

Kai Sun

Zhiheng Lin

...

2023/12/22

Transient voltage stability assessment based on transfer learning for small samples

Authorea Preprints

Jiayi Zhang

Hui Ren

Xi Wang

Jinling Lu

Fei Wang

2023/3/12

Demand-side Resources Classification Model Based on Time-frequency Domain Feature Extraction and IAGA Feature Selection

Di Yang

Yuntong Lv

Xudong Zhang

Shiyuan Yu

Xinxin Ge

...

2023/5/19

Adaptive Feature Selection and GCN with Optimal Graph Structure-based Ultra-short-term Wind Farm Cluster Power Forecasting Method

IEEE Transactions on Industry Applications

Honglai Xu

Yiran Zhang

Zhao Zhen

Fei Xu

Fei Wang

2023/10/3

A multi-dimensional quantitative evaluation framework for resources complexity of new energy stations based on grey correlation analysis

Dong Lv

Yun Wang

Fei Xu

Li He

Yuzhi Liu

...

2023/12/3

A Short-term Net Load Forecasting Method Based on Two-stage Feature Selection and LightGBM with Hyperparameter Auto-Tuning

Shuya Lei

Xiao Liang

Xiaohui Wang

Jingyang Ding

Xinxin Ge

...

2023/5/21

Blockchain and green certificates based market structure and transaction mechanism of direct power-purchase for industrial users

IEEE Transactions on Industry Applications

Xinxin Ge

Di Yang

Yuntong Lv

Fei Wang

Ji Yu

...

2023/2/21

Spatial-Temporal Attention Mechanism and Graph Convolutional Networks Based Distributed PV Ultra-short-term Power Forecasting

Xinyu Liu

Xu Xie

Qin Fang

Fei Xu

Chen Huang

...

2023/12/3

See List of Professors in Fei Wang University(North China Electric Power University)

Co-Authors

H-index: 95
João P. S. Catalão, IEEE Fellow, Highly Cited Researcher

João P. S. Catalão, IEEE Fellow, Highly Cited Researcher

Universidade do Porto

H-index: 80
Mahmud Fotuhi-Firuzabad, IEEE Fellow

Mahmud Fotuhi-Firuzabad, IEEE Fellow

Sharif University of Technology

H-index: 78
Pierluigi Siano

Pierluigi Siano

Università degli Studi di Salerno

H-index: 68
Neven Duic

Neven Duic

Sveucilište u Zagrebu

H-index: 68
Javier Contreras

Javier Contreras

Universidad de Castilla-La Mancha

H-index: 63
Jamshid Aghaei, Prof.

Jamshid Aghaei, Prof.

Lappeenrannan teknillinen yliopisto

academic-engine