Computational scheduling methods for integrating plug-in electric vehicles with power systems: A review Z Yang, K Li, A Foley Renewable and Sustainable Energy Reviews 51, 396-416, 2015 | 243 | 2015 |
Lithium-ion battery charging management considering economic costs of electrical energy loss and battery degradation K Liu, X Hu, Z Yang, Y Xie, S Feng Energy Conversion and Management 195, 167-179, 2019 | 201 | 2019 |
Battery modelling methods for electric vehicles-A review C Zhang, K Li, S Mcloone, Z Yang Control Conference (ECC), 2014 European, 2673-2678, 2014 | 201 | 2014 |
Multi-population techniques in nature inspired optimization algorithms: a comprehensive survey H Ma, S Shen, M Yu, Z Yang, M Fei, H Zhou Swarm and Evolutionary Computation 44, 365-387, 2019 | 184 | 2019 |
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 | 167 | 2019 |
Biogeography-Based Optimization: A 10-Year Review H Ma, D Simon, P Siarry, Z Yang, M Fei IEEE Transactions on Emerging Topics in Computational Intelligence 1 (5 …, 2017 | 145 | 2017 |
A self-learning TLBO based dynamic economic/environmental dispatch considering multiple plug-in electric vehicle loads Y Zhile, LI Kang, NIU Qun, XUE Yusheng, A FOLEY Journal of Modern Power Systems and Clean Energy, 1-10, 2014 | 129* | 2014 |
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 | 127 | 2019 |
Multi-objective biogeography-based optimization for dynamic economic emission load dispatch considering plug-in electric vehicles charging H Ma, Z Yang, P You, M Fei Energy 135, 101-111, 2017 | 122 | 2017 |
A novel competitive swarm optimized RBF neural network model for short-term solar power generation forecasting Z Yang, M Mourshed, K Liu, X Xu, S Feng Neurocomputing 397, 415-421, 2020 | 117 | 2020 |
A comprehensive study of economic unit commitment of power systems integrating various renewable generations and plug-in electric vehicles Z Yang, K Li, Q Niu, Y Xue Energy Conversion and Management 132, 460-481, 2017 | 117 | 2017 |
Diabetic retinopathy diagnosis using multichannel generative adversarial network with semisupervision S Wang, X Wang, Y Hu, Y Shen, Z Yang, M Gan, B Lei IEEE Transactions on Automation Science and Engineering 18 (2), 574-585, 2020 | 113 | 2020 |
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 | 107 | 2022 |
Mass load prediction for lithium-ion battery electrode clean production: A machine learning approach K Liu, Z Wei, Z Yang, K Li Journal of Cleaner Production 289, 125159, 2021 | 106 | 2021 |
Dynamic opposite learning enhanced teaching–learning-based optimization Y Xu, Z Yang, X Li, H Kang, X Yang Knowledge-Based Systems 188, 104966, 2020 | 106 | 2020 |
A review of the potential of district heating system in Northern China L Zhang, Y Li, H Zhang, X Xu, Z Yang, W Xu Applied Thermal Engineering 188, 116605, 2021 | 100 | 2021 |
An advanced Lithium-ion battery optimal charging strategy based on a coupled thermoelectric model K Liu, K Li, Z Yang, C Zhang, J Deng Electrochimica Acta 225, 330-344, 2017 | 90 | 2017 |
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, 2020 | 86 | 2020 |
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 | 81 | 2022 |
Biogeography-based learning particle swarm optimization for combined heat and power economic dispatch problem X Chen, K Li, B Xu, Z Yang Knowledge-Based Systems 208, 106463, 2020 | 81 | 2020 |