| Electric vehicle charging load forecasting: A comparative study of deep learning approaches J Zhu, Z Yang, M Mourshed, Y Guo, Y Zhou, Y Chang, Y Wei, S Feng Energies 12 (14), 2692, 2019 | 158 | 2019 |
| Short-term load forecasting for electric vehicle charging stations based on deep learning approaches J Zhu, Z Yang, Y Guo, J Zhang, H Yang Applied sciences 9 (9), 1723, 2019 | 121 | 2019 |
| Natural language processing for smart construction: Current status and future directions C Wu, X Li, Y Guo, J Wang, Z Ren, M Wang, Z Yang Automation in Construction 134, 104059, 2022 | 97 | 2022 |
| Synchrophasor-based islanding detection for distributed generation systems using systematic principal component analysis approaches Y Guo, K Li, DM Laverty, Y Xue IEEE Transactions on Power Delivery 30 (6), 2544-2552, 2015 | 97 | 2015 |
| A compact and optimized neural network approach for battery state-of-charge estimation of energy storage system Y Guo, Z Yang, K Liu, Y Zhang, W Feng Energy 219, 119529, 2021 | 82 | 2021 |
| A comprehensive review on deep learning approaches in wind forecasting applications Z Wu, G Luo, Z Yang, Y Guo, K Li, Y Xue CAAI Transactions on Intelligence Technology 7 (2), 129-143, 2022 | 78 | 2022 |
| Data-driven hybrid internal temperature estimation approach for battery thermal management K Liu, K Li, Q Peng, Y Guo, L Zhang Complexity 2018, 2018 | 74 | 2018 |
| Demand side management of plug-in electric vehicles and coordinated unit commitment: A novel parallel competitive swarm optimization method Y Wang, Z Yang, M Mourshed, Y Guo, Q Niu, X Zhu Energy conversion and management 196, 935-949, 2019 | 68 | 2019 |
| Compact real-valued teaching-learning based optimization with the applications to neural network training Z Yang, K Li, Y Guo, H Ma, M Zheng Knowledge-Based Systems 159, 51-62, 2018 | 62 | 2018 |
| A real-time safety helmet wearing detection approach based on CSYOLOv3 H Wang, Z Hu, Y Guo, Z Yang, F Zhou, P Xu Applied Sciences 10 (19), 6732, 2020 | 49 | 2020 |
| Complex power system status monitoring and evaluation using big data platform and machine learning algorithms: a review and a case study Y Guo, Z Yang, S Feng, J Hu Complexity 2018, 2018 | 49 | 2018 |
| A binary symmetric based hybrid meta-heuristic method for solving mixed integer unit commitment problem integrating with significant plug-in electric vehicles Z Yang, K Li, Y Guo, S Feng, Q Niu, Y Xue, A Foley Energy 170, 889-905, 2019 | 46 | 2019 |
| A novel LSTM based deep learning approach for multi-time scale electric vehicles charging load prediction J Zhu, Z Yang, Y Chang, Y Guo, K Zhu, J Zhang 2019 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia), 3531-3536, 2019 | 43 | 2019 |
| A novel forecasting based scheduling method for household energy management system based on deep reinforcement learning M Ren, X Liu, Z Yang, J Zhang, Y Guo, Y Jia Sustainable Cities and Society 76, 103207, 2022 | 40 | 2022 |
| A novel radial basis function neural network principal component analysis scheme for PMU-based wide-area power system monitoring Y Guo, K Li, Z Yang, J Deng, DM Laverty Electric Power Systems Research 127, 197-205, 2015 | 32 | 2015 |
| An investigation of wind direction and speed in a featured wind farm using joint probability distribution methods L Zhang, Q Li, Y Guo, Z Yang, L Zhang Sustainability 10 (12), 4338, 2018 | 31 | 2018 |
| Fault diagnosis for power system transmission line based on PCA and SVMs Y Guo, K Li, X Liu Intelligent Computing for Sustainable Energy and Environment: Second …, 2013 | 30 | 2013 |
| An enhanced exploratory whale optimization algorithm for dynamic economic dispatch W Yang, Z Peng, Z Yang, Y Guo, X Chen Energy Reports 7, 7015-7029, 2021 | 28 | 2021 |
| State-of-charge estimation of lithium-ion battery pack based on improved RBF neural networks L Zhang, M Zheng, D Du, Y Li, M Fei, Y Guo, K Li Complexity 2020, 1-10, 2020 | 27 | 2020 |
| A sparse learning machine for real-time SOC estimation of Li-ion batteries L Zhang, K Li, D Du, Y Guo, M Fei, Z Yang Ieee Access 8, 156165-156176, 2020 | 27 | 2020 |
Zhile Yang (杨之乐)Associate Professor, SIAT-Chinese Academy of SciencesDirección de correo verificada de qub.ac.uk
