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Computer Science

D-Index
57
Citations
10541
World Ranking
3896
National Ranking
521

Overview

Tao Ding is affiliated with Xi'an Jiaotong University in China and has contributed extensively to the field of engineering, with a primary focus on electrical and electronic engineering, control and systems engineering, mechanical engineering, materials chemistry, and energy engineering and power technology.

Their research centers on various topics within electrical engineering and power systems, including:

  • Optimal Power Flow Distribution
  • Smart Grid Energy Management
  • Electric Power System Optimization
  • Integrated Energy Systems Optimization
  • Microgrid Control and Optimization
  • Energy Load and Power Forecasting
  • Power System Optimization and Stability

Tao Ding has coauthored papers with several frequent collaborators, among them:

  • Mohammad Shahidehpour
  • Chenggang Mu
  • Wenhao Jia
  • Yuge Sun
  • Ming Qu

They have published in multiple respected venues, notably including:

  • IEEE Transactions on Power Systems
  • IET Generation Transmission & Distribution
  • The Cambridge Structural Database
  • IEEE Transactions on Smart Grid
  • IEEE Transactions on Automation Science and Engineering

Among their recent papers are:

  • "A review of technologies and applications on versatile energy storage systems," 2021, Renewable and Sustainable Energy Reviews
  • "Multiperiod Distribution System Restoration With Routing Repair Crews, Mobile Electric Vehicles, and Soft-Open-Point Networked Microgrids," 2020, IEEE Transactions on Smart Grid
  • "Residential load forecasting based on LSTM fusing self-attention mechanism with pooling," 2021, Energy
  • "Optimal Electric Vehicle Charging Strategy With Markov Decision Process and Reinforcement Learning Technique," 2020, IEEE Transactions on Industry Applications
  • "Mobility-Aware Charging Scheduling for Shared On-Demand Electric Vehicle Fleet Using Deep Reinforcement Learning," 2020, IEEE Transactions on Smart Grid

Best Publications

  • A Two-Stage Robust Reactive Power Optimization Considering Uncertain Wind Power Integration in Active Distribution Networks

    Tao Ding;Shiyu Liu;Wei Yuan;Zhaohong Bie

  • A review of technologies and applications on versatile energy storage systems

    Ziyu Zhang;Tao Ding;Quan Zhou;Yuge Sun

  • A resilient microgrid formation strategy for load restoration considering master-slave distributed generators and topology reconfiguration

    Tao Ding;Yanling Lin;Zhaohong Bie;Chen Chen

  • A New Model for Resilient Distribution Systems by Microgrids Formation

    Tao Ding;Yanling Lin;Gengfeng Li;Zhaohong Bie

  • A New Model for Resilient Distribution Systems by Microgrids Formation

    Tao Ding;Yanling Lin;Gengfeng Li;Zhaohong Bie

  • Day-ahead photovoltaic power forecasting approach based on deep convolutional neural networks and meta learning

    Haixiang Zang;Lilin Cheng;Tao Ding;Kwok W. Cheung

  • Multiperiod Distribution System Restoration With Routing Repair Crews, Mobile Electric Vehicles, and Soft-Open-Point Networked Microgrids

    Tao Ding;Zekai Wang;Wenhao Jia;Bo Chen

  • Hybrid method for short-term photovoltaic power forecasting based on deep convolutional neural network

    Haixiang Zang;Lilin Cheng;Tao Ding;Kwok W. Cheung

  • A Two-Stage Robust Optimization for Centralized-Optimal Dispatch of Photovoltaic Inverters in Active Distribution Networks

    Tao Ding;Cheng Li;Yongheng Yang;Jiangfeng Jiang

  • Residential load forecasting based on LSTM fusing self-attention mechanism with pooling

    Haixiang Zang;Ruiqi Xu;Lilin Cheng;Tao Ding

  • Multi-Stage Stochastic Programming With Nonanticipativity Constraints for Expansion of Combined Power and Natural Gas Systems

    Tao Ding;Yuan Hu;Zhaohong Bie

  • An NSGA-II based multi-objective optimization for combined gas and electricity network expansion planning

    Yuan Hu;Zhaohong Bie;Tao Ding;Yanling Lin

  • Multi-Stage Stochastic Programming to Joint Economic Dispatch for Energy and Reserve With Uncertain Renewable Energy

    Runzhao Lu;Tao Ding;Boyu Qin;Jin Ma

  • Optimal Electric Vehicle Charging Strategy With Markov Decision Process and Reinforcement Learning Technique

    Tao Ding;Ziyu Zeng;Jiawen Bai;Boyu Qin

  • A Data-Driven Stochastic Reactive Power Optimization Considering Uncertainties in Active Distribution Networks and Decomposition Method

    Tao Ding;Qingrun Yang;Yongheng Yang;Cheng Li

  • Reliability Evaluation for Integrated Power-Gas Systems With Power-to-Gas and Gas Storages

    Ziyu Zeng;Tao Ding;Yiting Xu;Yongheng Yang

  • A Transformer-based multimodal-learning framework using sky images for ultra-short-term solar irradiance forecasting

    Unknown

  • Mobility-Aware Charging Scheduling for Shared On-Demand Electric Vehicle Fleet Using Deep Reinforcement Learning

    Yanchang Liang;Zhaohao Ding;Tao Ding;Wei-Jen Lee

  • Application of functional deep belief network for estimating daily global solar radiation: A case study in China

    Haixiang Zang;Lilin Cheng;Tao Ding;Kwok W. Cheung

  • Multitime Scale Coordinated Scheduling for the Combined System of Wind Power, Photovoltaic, Thermal Generator, Hydro Pumped Storage, and Batteries

    Shiwei Xia;Zhaohao Ding;Ting Du;Dongying Zhang

  • Big-M Based MIQP Method for Economic Dispatch With Disjoint Prohibited Zones

    Tao Ding;Rui Bo;Wei Gu;Hongbin Sun

  • Integrated demand response for a load serving entity in multi-energy market considering network constraints

    Peiyun Liu;Tao Ding;Zhixiang Zou;Yongheng Yang

  • A Two-Layer Model for Microgrid Real-Time Dispatch Based on Energy Storage System Charging/Discharging Hidden Costs

    Zhong Zhang;Jianxue Wang;Tao Ding;Xiuli Wang

Frequent Co-Authors

Fangxing Li
Fangxing Li University of Tennessee at Knoxville
Hongbin Sun
Hongbin Sun Tsinghua University
Yongheng Yang
Yongheng Yang Zhejiang University
Mohammad Shahidehpour
Mohammad Shahidehpour Illinois Institute of Technology
Frede Blaabjerg
Frede Blaabjerg Aalborg University
Zhinong Wei
Zhinong Wei Hohai University
Guoqiang Sun
Guoqiang Sun Hohai University
Warren K. Bickel
Warren K. Bickel Virginia Tech
Zhao Yang Dong
Zhao Yang Dong City University of Hong Kong
Boming Zhang
Boming Zhang Tsinghua University

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