Zhile Yang (杨之乐)
Zhile Yang (杨之乐)
Associate Professor, SIAT-Chinese Academy of Sciences
Verified email at
Cited by
Cited by
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
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
Battery modelling methods for electric vehicles-A review
C Zhang, K Li, S Mcloone, Z Yang
Control Conference (ECC), 2014 European, 2673-2678, 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
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
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
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
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
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
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
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
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
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
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
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
A novel hybrid teaching learning based multi-objective particle swarm optimization
T Cheng, M Chen, PJ Fleming, Z Yang, S Gan
Neurocomputing 222, 11-25, 2017
Dynamic opposite learning enhanced teaching–learning-based optimization
Y Xu, Z Yang, X Li, H Kang, X Yang
Knowledge-Based Systems 188, 104966, 2020
Time series wind power forecasting based on variant Gaussian Process and TLBO
J Yan, K Li, E Bai, Z Yang, A Foley
Neurocomputing 189, 135-144, 2016
Key Technologies and Application Prospects of Ubiquitous Power Internet of Things
Y Dongsheng, W Daohao, Z Bowen, ZY Qiyu CHEn, XU Guoyi, ...
Power Generation Technology 40 (2), 107-114, 2019
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
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