World's Best Scientists 2026 revealed!
Chongqing Kang

Chongqing Kang

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
91
Citations
26508
World Ranking
287
National Ranking
44

Research.com Recognitions

  • 2017 - IEEE Fellow For contributions to power system operation and planning in uncertain environments

Overview

Chongqing Kang is affiliated with Tsinghua University in China, focusing primarily on engineering with a specialization in electrical and electronic engineering. Their work encompasses several subfields including control and systems engineering, computer networks and communications, safety, risk, reliability and quality, as well as energy engineering and power technology.

Their recent publications demonstrate engagement with issues related to energy systems, carbon neutrality, and power system dynamics. Notable papers include "Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic" (2020, Nature Communications), "Cost increase in the electricity supply to achieve carbon neutrality in China" (2022, Nature Communications), "Modeling Frequency Dynamics in Unit Commitment With a High Share of Renewable Energy" (2020, IEEE Transactions on Power Systems), "Author Correction: Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic" (2020, Nature Communications), and "Pathway toward carbon-neutral electrical systems in China by mid-century with negative CO2 abatement costs informed by high-resolution modeling" (2021, Joule).

Frequent co-authors in their work include Ning Zhang, Qixin Chen, Hongye Guo, Haiwang Zhong, and Ershun Du.

Publication venues where Chongqing Kang has contributed regularly include:

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

Their research covers a range of main topics including:

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

Chongqing Kang's contributions are also documented in book form, with a publication titled "Cyber-Physical Virtual Power Plants: Modeling, Operation, and Control" scheduled for release by Springer Nature in 2025.

The scientist was recognized as an IEEE Fellow in 2017 for contributions to power system operation and planning in uncertain environments.

Best Publications

  • Robust Optimization-Based Resilient Distribution Network Planning Against Natural Disasters

    Wei Yuan;Jianhui Wang;Feng Qiu;Chen Chen

  • Increasing the Flexibility of Combined Heat and Power for Wind Power Integration in China: Modeling and Implications

    Xinyu Chen;Chongqing Kang;Mark O'Malley;Qing Xia

  • Optimal Bidding Strategy of Battery Storage in Power Markets Considering Performance-Based Regulation and Battery Cycle Life

    Guannan He;Qixin Chen;Chongqing Kang;Pierre Pinson

  • Review and prospect of integrated demand response in the multi-energy system

    Jianxiao Wang;Haiwang Zhong;Ziming Ma;Qing Xia

  • Probabilistic individual load forecasting using pinball loss guided LSTM

    Yi Wang;Dahua Gan;Mingyang Sun;Ning Zhang

  • Carbon Emission Flow From Generation to Demand: A Network-Based Model

    Chongqing Kang;Tianrui Zhou;Qixin Chen;Jianhui Wang

  • Clustering of Electricity Consumption Behavior Dynamics Toward Big Data Applications

    Yi Wang;Qixin Chen;Chongqing Kang;Qing Xia

  • A State-Independent Linear Power Flow Model with Accurate Estimation of Voltage Magnitude

    Jingwei Yang;Ning Zhang;Chongqing Kang;Qing Xia

  • Optimal Configuration Planning of Multi-Energy Systems Considering Distributed Renewable Energy

    Wujing Huang;Ning Zhang;Jingwei Yang;Yi Wang

  • A Linearized OPF Model With Reactive Power and Voltage Magnitude: A Pathway to Improve the MW-Only DC OPF

    Zhifang Yang;Haiwang Zhong;Anjan Bose;Tongxin Zheng

  • Load profiling and its application to demand response: A review

    Yi Wang;Qixin Chen;Chongqing Kang;Mingming Zhang

  • Modeling Carbon Emission Flow in Multiple Energy Systems

    Yaohua Cheng;Ning Zhang;Yi Wang;Jingwei Yang

  • A Novel Combined Data-Driven Approach for Electricity Theft Detection

    Kedi Zheng;Qixin Chen;Yi Wang;Chongqing Kang

  • From demand response to integrated demand response: review and prospect of research and application

    Wujing Huang;Ning Zhang;Chongqing Kang;Mingxuan Li

  • The Role of Concentrating Solar Power Toward High Renewable Energy Penetrated Power Systems

    Ershun Du;Ning Zhang;Bri-Mathias Hodge;Qin Wang

  • Modeling Frequency Dynamics in Unit Commitment With a High Share of Renewable Energy

    Ziyang Zhang;Ershun Du;Fei Teng;Ning Zhang

  • Modeling Conditional Forecast Error for Wind Power in Generation Scheduling

    Ning Zhang;Chongqing Kang;Qing Xia;Ji Liang

  • Mixed-integer linear programming-based optimal configuration planning for energy hub: Starting from scratch

    Yi Wang;Ning Zhang;Zhenyu Zhuo;Chongqing Kang

  • Power Generation Expansion Planning Model Towards Low-Carbon Economy and Its Application in China

    Qixin Chen;Chongqing Kang;Qing Xia;Jin Zhong

  • Unit Commitment With Volatile Node Injections by Using Interval Optimization

    Yang Wang;Qing Xia;Chongqing Kang

  • Cooperation of Wind Power and Battery Storage to Provide Frequency Regulation in Power Markets

    Guannan He;Qixin Chen;Chongqing Kang;Qing Xia

  • Cloud energy storage for residential and small commercial consumers: A business case study

    Jingkun Liu;Jingkun Liu;Ning Zhang;Chongqing Kang;Daniel Kirschen

  • Reducing curtailment of wind electricity in China by employing electric boilers for heat and pumped hydro for energy storage

    Ning Zhang;Xi Lu;Xi Lu;Michael B. McElroy;Chris P. Nielsen

Frequent Co-Authors

Qing Xia
Qing Xia Tsinghua University
Daniel S. Kirschen
Daniel S. Kirschen University of Washington
Le Xie
Le Xie Texas A&M University
Bri-Mathias Hodge
Bri-Mathias Hodge University of Colorado Boulder
Anjan Bose
Anjan Bose Washington State University
Goran Strbac
Goran Strbac Imperial College London
Boming Zhang
Boming Zhang Tsinghua University
Saifur Rahman
Saifur Rahman Virginia Tech
Chen-Ching Liu
Chen-Ching Liu Virginia Tech
Kai Liu
Kai Liu Tsinghua University

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