| 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 | 1031 | 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 | 782 | 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 | 536 | 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 | 380 | 2017 |
| 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 | 317 | 2020 |
| 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 | 264 | 2018 |
| 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 | 222 | 2020 |
| 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 | 211 | 2021 |
| Recurrent Neural Networks Based Photovoltaic Power Forecasting Approach HL Gangqiang Li, Huaizhi Wang, Shengli Zhang, Jiantao Xin Energies 12 (13), 2538, 2019 | 151 | 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 | 126 | 2014 |
| 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 | 108 | 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 | 106 | 2020 |
| 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 | 89 | 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 | 82 | 2021 |
| 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 | 78 | 2019 |
| 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 | 75 | 2021 |
| 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 | 75* | 2019 |
| Coordinated operation strategy for a virtual power plant with multiple DER aggregators Z Yi, Y Xu, H Wang, L Sang IEEE Transactions on Sustainable Energy 12 (4), 2445-2458, 2021 | 69 | 2021 |
| Extreme learning machine-based state reconstruction for automatic attack filtering in cyber physical power system T Wu, W Xue, H Wang, CY Chung, G Wang, J Peng, Q Yang IEEE Transactions on Industrial Informatics 17 (3), 1892-1904, 2020 | 66 | 2020 |
| Probabilistic wind power forecasting based on spiking neural network H Wang, W Xue, Y Liu, J Peng, H Jiang Energy 196, 117072, 2020 | 66 | 2020 |
Jian-chun PengThe College of Mechatronics and Control Engineering, Shenzhen UniversityZweryfikowany adres z szu.edu.cn
