Wenjie Zhang
Wenjie Zhang
Research Assistant Professor, the Hong Kong Polytechnic University (PolyU)
Verified email at - Homepage
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An improved quantile regression neural network for probabilistic load forecasting
W Zhang, H Quan, D Srinivasan
IEEE Transactions on Smart Grid, 2018
A siting and sizing optimization approach for PV–battery–diesel hybrid systems
CD Rodríguez-Gallegos, O Gandhi, D Yang, MS Alvarez-Alvarado, ...
IEEE Transactions on Industry Applications 54 (3), 2637-2645, 2017
Economic and technical analysis of reactive power provision from distributed energy resources in microgrids
O Gandhi, CD Rodríguez-Gallegos, W Zhang, D Srinivasan, T Reindl
Applied energy 210, 827-841, 2018
Parallel and reliable probabilistic load forecasting via quantile regression forest and quantile determination
W Zhang, H Quan, D Srinivasan
Energy 160, 810-819, 2018
Distributed model-predictive real-time optimal operation of a network of smart microgrids
K Utkarsh, D Srinivasan, A Trivedi, W Zhang, T Reindl
IEEE Transactions on Smart Grid 10 (3), 2833-2845, 2018
Analytical approach to reactive power dispatch and energy arbitrage in distribution systems with DERs
O Gandhi, W Zhang, CD Rodriguez-Gallegos, M Bieri, T Reindl, ...
IEEE Transactions on Power Systems 33 (6), 6522-6533, 2018
Improving probabilistic load forecasting using quantile regression NN with skip connections
W Zhang, H Quan, O Gandhi, R Rajagopal, CW Tan, D Srinivasan
IEEE Transactions on Smart Grid 11 (6), 5442-5450, 2020
SolarGAN: Multivariate solar data imputation using generative adversarial network
W Zhang, Y Luo, Y Zhang, D Srinivasan
IEEE Transactions on Sustainable Energy 12 (1), 743-746, 2020
A multi-agent based integrated volt-var optimization engine for fast vehicle-to-grid reactive power dispatch and electric vehicle coordination
W Zhang, O Gandhi, H Quan, CD Rodríguez-Gallegos, D Srinivasan
Applied Energy 229, 96-110, 2018
Continuous optimization of reactive power from PV and EV in distribution system
O Gandhi, W Zhang, C Rodríguez-Gallegos, D, D Srinivasan, T Reindl
Innovative Smart Grid Technologies-Asia (ISGT-Asia), 2016 IEEE, 2016
Deep-learning-based probabilistic estimation of solar PV soiling loss
W Zhang, S Liu, O Gandhi, CD Rodríguez-Gallegos, H Quan, ...
IEEE Transactions on Sustainable Energy 12 (4), 2436-2444, 2021
Placement and Sizing Optimization for PV-Battery-Diesel Hybrid Systems
CD Rodrıguez-Gallegos, MS Alvarez-Alvarado, O Gandhi, D Yang, ...
4th IEEE International Conference on Sustainable Energy Technologies (ICSET …, 2016
Local reactive power dispatch optimisation minimising global objectives
O Gandhi, W Zhang, CD Rodríguez-Gallegos, H Verbois, H Sun, T Reindl, ...
Applied Energy 262, 114529, 2020
Forecasting of electricity prices using deep learning networks
W Zhang, F Cheema, D Srinivasan
2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC …, 2018
An ensemble machine learning based approach for constructing probabilistic PV generation forecasting
W Zhang, H Quan, O Gandhi, CD Rodríguez-Gallegos, A Sharma, ...
Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2017 IEEE PES …, 2018
A vehicle-to-grid based reactive power dispatch approach using particle swarm optimization
W Zhang, D Pritam, D Srinivasan
Evolutionary Computation (CEC), 2016 IEEE Congress on, 2016
Spatial correlation modeling for optimal power flow with wind power: Feasibility in application of superconductivity
H Quan, J Lv, W Zhang, T Wang
IEEE Transactions on Applied Superconductivity 31 (8), 1-5, 2021
Levelised cost of PV integration for distribution networks
O Gandhi, CD Rodríguez-Gallegos, W Zhang, T Reindl, D Srinivasan
Renewable and Sustainable Energy Reviews 169, 112922, 2022
An Interval Prediction Approach of Wind Power Based on Skip-GRU and Block-Bootstrap Techniques
H Quan, W Zhang, W Zhang, Z Li, T Zhou
IEEE Transactions on Industry Applications, 2023
Cascade Graph Neural Networks for Few-Shot Learning on Point Clouds
Y Li, C Chen, W Yan, Z Cheng, HL Tan, W Zhang
IEEE Transactions on Intelligent Transportation Systems, 2023
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