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Yonghua Song

Yonghua Song

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
74
Citations
19134
World Ranking
723
National Ranking
115

Research.com Recognitions

  • 2019 - Member of Academia Europaea
  • 2008 - IEEE Fellow For contributions to optimization techniques for power systems
  • 2004 - Fellow of the Royal Academy of Engineering (UK)

Overview

Yonghua Song is affiliated with the University of Macau in China and has an extensive publication record primarily in the field of Engineering. Their research spans multiple subfields including Electrical and Electronic Engineering, Control and Systems Engineering, Energy Engineering and Power Technology, Automotive Engineering, and Artificial Intelligence.

Their scholarly output focuses on several main topics, such as:

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

Song has contributed to prominent publication venues with high frequency, including:

  • IEEE Transactions on Power Systems
  • arXiv (Cornell University)
  • IEEE Transactions on Smart Grid
  • Applied Energy
  • IEEE Transactions on Sustainable Energy

Recent research publications by Yonghua Song include:

  • "Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities," 2021, Journal of Cleaner Production
  • "Hour-Ahead Optimization Strategy for Shared Energy Storage of Renewable Energy Power Stations to Provide Frequency Regulation Service," 2022, IEEE Transactions on Sustainable Energy
  • "Demand Response for Industrial Micro-Grid Considering Photovoltaic Power Uncertainty and Battery Operational Cost," 2021, IEEE Transactions on Smart Grid
  • "Power and Transport Nexus: Routing Electric Vehicles to Promote Renewable Power Integration," 2020, IEEE Transactions on Smart Grid
  • "Pressure control strategy to extend the loading range of an alkaline electrolysis system," 2021, International Journal of Hydrogen Energy

Collaboration is a notable aspect of Song's research, with frequent co-authors including Hongcai Zhang, Jin Lin, Hongxun Hui, Yi Ding, and Yiwei Qiu.

In addition to journal articles, Song has contributed to academic books, including a publication with Springer Science+Business Media titled Hydrogen Integration in Energy Systems: Modeling, Optimization, and Reliability Evaluation, expected in 2025.

Song's professional recognition includes the following awards and honors:

  • Fellow of the Royal Academy of Engineering (UK), 2004
  • IEEE Fellow, 2008, for contributions to optimization techniques for power systems
  • Member of Academia Europaea, 2019

Best Publications

  • Flexible AC Transmission Systems (FACTS)

    Yong Hua Song;Allan T. Johns

  • Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities

    Tanveer Ahmad;Tanveer Ahmad;Dongdong Zhang;Chao Huang;Chao Huang;Hongcai Zhang

  • Photovoltaic and solar power forecasting for smart grid energy management

    Can Wan;Jian Zhao;Yonghua Song;Zhao Xu

  • Modern Power Systems Analysis

    Xi-Fan Wang;Yonghua Song;Malcolm Irving

  • Decentralized Vehicle-to-Grid Control for Primary Frequency Regulation Considering Charging Demands

    Hui Liu;Zechun Hu;Yonghua Song;Jin Lin

  • 5G network-based Internet of Things for demand response in smart grid: A survey on application potential

    Hongxun Hui;Yi Ding;Qingxin Shi;Fangxing Li

  • PEV Fast-Charging Station Siting and Sizing on Coupled Transportation and Power Networks

    Hongcai Zhang;Scott J. Moura;Zechun Hu;Yonghua Song

  • Vehicle-to-Grid Control for Supplementary Frequency Regulation Considering Charging Demands

    Hui Liu;Zechun Hu;Yonghua Song;Jianhui Wang

  • A Comprehensive Review on the Development of Sustainable Energy Strategy and Implementation in China

    Xia Yang;Yonghua Song;Guanghui Wang;Weisheng Wang

  • Operation Optimization of Power to Hydrogen and Heat (P2HH) in ADN Coordinated With the District Heating Network

    Unknown

  • Direct Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power Generation

    Can Wan;Jin Lin;Jianhui Wang;Yonghua Song

  • Modeling and Integration of Flexible Demand in Heat and Electricity Integrated Energy System

    Changzheng Shao;Yi Ding;Jianhui Wang;Yonghua Song

  • An Integrated Planning Framework for Different Types of PEV Charging Facilities in Urban Area

    Hongcai Zhang;Zechun Hu;Zhiwei Xu;Yonghua Song

  • Experimental study of a new hybrid PSO with mutation for economic dispatch with non-smooth cost function

    Haiyan Lu;Pichet Sriyanyong;Yong Hua Song;Tharam Dillon

  • Optimal siting and sizing of electric vehicle charging stations

    Long Jia;Zechun Hu;Yonghua Song;Zhuowei Luo

  • Value of the energy storage system in an electric bus fast charging station

    Huajie Ding;Zechun Hu;Yonghua Song

  • Trading strategy optimization for a prosumer in continuous double auction-based peer-to-peer market: A prediction-integration model

    Kaixuan Chen;Jin Lin;Yonghua Song;Yonghua Song

  • A Hierarchical Framework for Coordinated Charging of Plug-In Electric Vehicles in China

    Zhiwei Xu;Wencong Su;Zechun Hu;Yonghua Song

  • Probabilistic Forecasting of Photovoltaic Generation: An Efficient Statistical Approach

    Can Wan;Jin Lin;Yonghua Song;Zhao Xu

  • An Internet of Energy Things Based on Wireless LPWAN

    Yonghua Song;Yonghua Song;Jin Lin;Ming Tang;Ming Tang;Shufeng Dong;Shufeng Dong

  • Optimal Cloud Computing Resource Allocation for Demand Side Management in Smart Grid

    Zijian Cao;Jin Lin;Can Wan;Yonghua Song

  • Stochastic optimization of the daily operation of wind farm and pumped-hydro-storage plant

    Huajie Ding;Zechun Hu;Yonghua Song

  • Optimal Coordination of Plug-In Electric Vehicles in Power Grids With Cost-Benefit Analysis—Part I: Enabling Techniques

    Zhuowei Luo;Zechun Hu;Yonghua Song;Zhiwei Xu

Frequent Co-Authors

Feng Liu
Feng Liu Tsinghua University
Scott J. Moura
Scott J. Moura University of California, Berkeley
Zhao Xu
Zhao Xu Hong Kong Polytechnic University
Wenzhong Gao
Wenzhong Gao University of Denver
Guangya Yang
Guangya Yang Technical University of Denmark
Zhao Yang Dong
Zhao Yang Dong City University of Hong Kong
Chuangxin Guo
Chuangxin Guo Zhejiang University
Hua Geng
Hua Geng Tsinghua University
Duncan S. Callaway
Duncan S. Callaway University of California, Berkeley
Huanhai Xin
Huanhai Xin Zhejiang University

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