Общедоступные статьи - Fei WangПодробнее...
139 статей недоступны нигде
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
Финансирование: National Natural Science Foundation of China
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
Финансирование: National Natural Science Foundation of China, Fundação para a Ciência e a …
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
Финансирование: National Natural Science Foundation of China
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
Финансирование: National Natural Science Foundation of China, Fundação para a Ciência e a …
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
Финансирование: National Natural Science Foundation of China, Fundação para a Ciência e a …
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
Финансирование: National Natural Science Foundation of China
Deep learning based surface irradiance mapping model for solar PV power forecasting using sky image
Z Zhen, J Liu, Z Zhang, F Wang, H Chai, Y Yu, X Lu, T Wang, Y Lin
IEEE Transactions on Industry Applications 56 (4), 3385-3396, 2020
Финансирование: National Natural Science Foundation of China
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
Финансирование: National Natural Science Foundation of China
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
Финансирование: National Natural Science Foundation of China, Fundação para a Ciência e a …
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
Финансирование: National Natural Science Foundation of China, Fundação para a Ciência e a …
Day-ahead optimal bidding and scheduling strategies for DER aggregator considering responsive uncertainty under real-time pricing
F Wang, X Ge, P Yang, K Li, Z Mi, P Siano, N Duić
Energy 213, 118765, 2020
Финансирование: National Natural Science Foundation of China
A multi-stage predicting methodology based on data decomposition and error correction for ultra-short-term wind energy prediction
Y Zhang, J Han, G Pan, Y Xu, F Wang
Journal of Cleaner Production 292, 125981, 2021
Финансирование: National Natural Science Foundation of China
PV-load decoupling based demand response baseline load estimation approach for residential customer with distributed PV system
Z Xuan, X Gao, K Li, F Wang, X Ge, Y Hou
IEEE Transactions on Industry Applications 56 (6), 6128-6137, 2020
Финансирование: National Natural Science Foundation of China
Two-stage decoupled estimation approach of aggregated baseline load under high penetration of behind-the-meter PV system
K Li, J Yan, L Hu, F Wang, N Zhang
IEEE Transactions on Smart Grid 12 (6), 4876-4885, 2021
Финансирование: National Natural Science Foundation of China
A hierarchical optimization strategy of the energy router-based energy internet
H Guo, F Wang, L Zhang, J Luo
IEEE Transactions on Power Systems 34 (6), 4177-4185, 2019
Финансирование: National Natural Science Foundation of China
Time–frequency feature combination based household characteristic identification approach using smart meter data
S Yan, K Li, F Wang, X Ge, X Lu, Z Mi, H Chen, S Chang
IEEE Transactions on Industry Applications 56 (3), 2251-2262, 2020
Финансирование: National Natural Science Foundation of China
Short-term wind speed interval prediction based on artificial intelligence methods and error probability distribution
Y Zhang, G Pan, Y Zhao, Q Li, F Wang
Energy Conversion and Management 224, 113346, 2020
Финансирование: National Natural Science Foundation of China
Optimal scheduling of demand response in pre-emptive markets based on stochastic bilevel programming method
S Talari, M Shafie-Khah, F Wang, J Aghaei, JPS Catalao
IEEE Transactions on Industrial Electronics 66 (2), 1453-1464, 2017
Финансирование: Fundação para a Ciência e a Tecnologia, Portugal, European Commission
Dynamic spatio-temporal correlation and hierarchical directed graph structure based ultra-short-term wind farm cluster power forecasting method
F Wang, P Chen, Z Zhen, R Yin, C Cao, Y Zhang, N Duić
Applied energy 323, 119579, 2022
Финансирование: National Natural Science Foundation of China
Power system parameter attack for financial profits in electricity markets
H Xu, Y Lin, X Zhang, F Wang
IEEE Transactions on Smart Grid 11 (4), 3438-3446, 2020
Финансирование: US Department of Energy
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