Huaizhi WANG
Huaizhi WANG
Assist. Prof., College of Mechatronics and Control Engineering, Shenzhen University
Verified email at - Homepage
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A review of deep learning for renewable energy forecasting
H Wang, Z Lei, X Zhang, B Zhou, J Peng
Energy Conversion and Management 198, 111799, 2019
Deep learning based ensemble approach for probabilistic wind power forecasting
H Wang, G Li, G Wang, J Peng, H Jiang, Y Liu
Applied energy 188, 56-70, 2017
Deep belief network based deterministic and probabilistic wind speed forecasting approach
HZ Wang, GB Wang, GQ Li, JC Peng, YT Liu
Applied Energy 182, 80-93, 2016
Deterministic and probabilistic forecasting of photovoltaic power based on deep convolutional neural network
H Wang, H Yi, J Peng, G Wang, Y Liu, H Jiang, W Liu
Energy conversion and management 153, 409-422, 2017
Deep learning-based interval state estimation of AC smart grids against sparse cyber attacks
H Wang, J Ruan, G Wang, B Zhou, Y Liu, X Fu, J Peng
IEEE Transactions on Industrial Informatics 14 (11), 4766-4778, 2018
Taxonomy research of artificial intelligence for deterministic solar power forecasting
H Wang, Y Liu, B Zhou, C Li, G Cao, N Voropai, E Barakhtenko
Energy Conversion and Management 214, 112909, 2020
Deep-learning-based probabilistic forecasting of electric vehicle charging load with a novel queuing model
X Zhang, KW Chan, H Li, H Wang, J Qiu, G Wang
IEEE transactions on cybernetics 51 (6), 3157-3170, 2020
Recurrent Neural Networks Based Photovoltaic Power Forecasting Approach
HL Gangqiang Li, Huaizhi Wang, Shengli Zhang, Jiantao Xin
Energies 12 (13), 2538, 2019
Multi-agent correlated equilibrium Q (λ) learning for coordinated smart generation control of interconnected power grids
T Yu, HZ Wang, B Zhou, KW Chan, J Tang
IEEE transactions on power systems 30 (4), 1669-1679, 2014
Multi-microgrid energy management systems: Architecture, communication, and scheduling strategies
B Zhou, J Zou, CY Chung, H Wang, N Liu, N Voropai, D Xu
Journal of Modern Power Systems and Clean Energy 9 (3), 463-476, 2021
Dynamic data injection attack detection of cyber physical power systems with uncertainties
H Wang, J Ruan, B Zhou, C Li, Q Wu, MQ Raza, GZ Cao
IEEE Transactions on Industrial informatics 15 (10), 5505-5518, 2019
Solar irradiance forecasting based on direct explainable neural network
H Wang, R Cai, B Zhou, S Aziz, B Qin, N Voropai, L Gan, E Barakhtenko
Energy Conversion and Management 226, 113487, 2020
Echo state network based ensemble approach for wind power forecasting
H Wang, Z Lei, Y Liu, J Peng, J Liu
Energy Conversion and Management 201, 112188, 2019
Game-theoretic planning for integrated energy system with independent participants considering ancillary services of power-to-gas stations
X Zhang, KW Chan, H Wang, J Hu, B Zhou, Y Zhang, J Qiu
Energy 176, 249-264, 2019
Deep Learning Aided Interval State Prediction for Improving Cyber Security in Energy Internet
GC H. Wang, J. Ruan, Z. Ma, B. Zhou, X. Fu
Energy, 1-14, 2019
Multi-energy net load forecasting for integrated local energy systems with heterogeneous prosumers
B Zhou, Y Meng, W Huang, H Wang, L Deng, S Huang, J Wei
International Journal of Electrical Power & Energy Systems 126, 106542, 2021
Short-term prediction of wind power and its ramp events based on semi-supervised generative adversarial network
B Zhou, H Duan, Q Wu, H Wang, SW Or, KW Chan, Y Meng
International Journal of Electrical Power & Energy Systems 125, 106411, 2021
Probabilistic wind power forecasting based on spiking neural network
H Wang, W Xue, Y Liu, J Peng, H Jiang
Energy 196, 117072, 2020
Robust fixed-time sliding mode control for fractional-order nonlinear hydro-turbine governing system
S Huang, B Zhou, S Bu, C Li, C Zhang, H Wang, T Wang
Renewable Energy 139, 447-458, 2019
Modeling and design of the magnetic integration of single-and multi-stage EMI filters
Y Liu, S Jiang, W Liang, H Wang, J Peng
IEEE Transactions on Power Electronics 35 (1), 276-288, 2019
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