Fei Wang
Fei Wang
Professor of Electrical Engineering, Director of SENIOR, North China Electric Power University
Verified email at ncepu.edu.cn
Cited by
Cited by
Short-term solar irradiance forecasting model based on artificial neural network using statistical feature parameters
F Wang, Z Mi, S Su, H Zhao
Energies 5 (5), 1355-1370, 2012
The values of market-based demand response on improving power system reliability under extreme circumstances
F Wang, H Xu, T Xu, K Li, M Shafie-Khah, JPS Catalão
Applied energy 193, 220-231, 2017
Solar irradiance feature extraction and support vector machines based weather status pattern recognition model for short-term photovoltaic power forecasting
F Wang, Z Zhen, Z Mi, H Sun, S Su, G Yang
Energy and Buildings 86, 427-438, 2015
Multi-objective optimization model of source–load–storage synergetic dispatch for a building energy management system based on TOU price demand response
F Wang, L Zhou, H Ren, X Liu, S Talari, M Shafie-khah, JPS Catalao
IEEE Transactions on Industry Applications 54 (2), 1017-1028, 2017
Dynamic price vector formation model-based automatic demand response strategy for PV-assisted EV charging stations
Q Chen, F Wang, BM Hodge, J Zhang, Z Li, M Shafie-Khah, JPS Catalão
IEEE Transactions on Smart Grid 8 (6), 2903-2915, 2017
Comparative study on KNN and SVM based weather classification models for day ahead short term solar PV power forecasting
F Wang, Z Zhen, B Wang, Z Mi
Applied Sciences 8 (1), 28, 2018
Synchronous pattern matching principle-based residential demand response baseline estimation: Mechanism analysis and approach description
F Wang, K Li, C Liu, Z Mi, M Shafie-Khah, JPS Catalão
IEEE Transactions on Smart Grid 9 (6), 6972-6985, 2018
Generative adversarial networks and convolutional neural networks based weather classification model for day ahead short-term photovoltaic power forecasting
F Wang, Z Zhang, C Liu, Y Yu, S Pang, N Duić, M Shafie-Khah, ...
Energy conversion and management 181, 443-462, 2019
Solar irradiance short-term prediction model based on BP neural network
Z Wang, F Wang, S Su
Energy Procedia 12, 488-494, 2011
Association rule mining based quantitative analysis approach of household characteristics impacts on residential electricity consumption patterns
F Wang, K Li, N Duić, Z Mi, BM Hodge, M Shafie-khah, JPS Catalão
Energy conversion and management 171, 839-854, 2018
A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework
F Wang, Z Xuan, Z Zhen, K Li, T Wang, M Shi
Energy Conversion and Management 212, 112766, 2020
Capacity and output power estimation approach of individual behind-the-meter distributed photovoltaic system for demand response baseline estimation
K Li, F Wang, Z Mi, M Fotuhi-Firuzabad, N Duić, T Wang
Applied energy 253, 113595, 2019
Daily pattern prediction based classification modeling approach for day-ahead electricity price forecasting
F Wang, K Li, L Zhou, H Ren, J Contreras, M Shafie-Khah, JPS Catalão
International Journal of Electrical Power & Energy Systems 105, 529-540, 2019
Image phase shift invariance based cloud motion displacement vector calculation method for ultra-short-term solar PV power forecasting
F Wang, Z Zhen, C Liu, Z Mi, BM Hodge, M Shafie-khah, JPS Catalão
Energy conversion and management 157, 123-135, 2018
Broadcast gossip algorithms for distributed peer-to-peer control in AC microgrids
J Lai, X Lu, F Wang, P Dehghanian, R Tang
IEEE Transactions on Industry Applications 55 (3), 2241-2251, 2019
Smart households’ aggregated capacity forecasting for load aggregators under incentive-based demand response programs
F Wang, B Xiang, K Li, X Ge, H Lu, J Lai, P Dehghanian
IEEE Transactions on Industry Applications 56 (2), 1086-1097, 2020
Pattern classification and PSO optimal weights based sky images cloud motion speed calculation method for solar PV power forecasting
Z Zhen, S Pang, F Wang, K Li, Z Li, H Ren, M Shafie-khah, JPS Catalão
IEEE Transactions on Industry Applications 55 (4), 3331-3342, 2019
Wavelet decomposition and convolutional LSTM networks based improved deep learning model for solar irradiance forecasting
F Wang, Y Yu, Z Zhang, J Li, Z Zhen, K Li
applied sciences 8 (8), 1286, 2018
Fundamentals and business model for resource aggregator of demand response in electricity markets
X Lu, K Li, H Xu, F Wang, Z Zhou, Y Zhang
Energy 204, 117885, 2020
Correlation feature selection and mutual information theory based quantitative research on meteorological impact factors of module temperature for solar photovoltaic systems
Y Sun, F Wang, B Wang, Q Chen, NA Engerer, Z Mi
Energies 10 (1), 7, 2017
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