Huaizhi WANG(王怀智)
Huaizhi WANG(王怀智)
Assist. Prof., College of Mechatronics and Control Engineering, Shenzhen University
Verified email at - Homepage
Cited by
Cited by
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
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 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
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
Recurrent Neural Networks Based Photovoltaic Power Forecasting Approach
HL Gangqiang Li, Huaizhi Wang, Shengli Zhang, Jiantao Xin
Energies 12 (13), 2538, 2019
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
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
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-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
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
Probabilistic wind power forecasting based on spiking neural network
H Wang, W Xue, Y Liu, J Peng, H Jiang
Energy 196, 117072, 2020
Robust planning of electric vehicle charging facilities with an advanced evaluation method
G Wang, X Zhang, H Wang, JC Peng, H Jiang, Y Liu, C Wu, Z Xu, W Liu
IEEE Transactions on Industrial Informatics 14 (3), 866-876, 2017
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, 2021
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
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
GPNBI-inspired MOSFA for Pareto operation optimization of integrated energy system
H Wang, R Zhang, J Peng, G Wang, Y Liu, H Jiang, W Liu
Energy Conversion and Management 151, 524-537, 2017
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
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