D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 47 Citations 6,542 179 World Ranking 1346 National Ranking 147

Research.com Recognitions

Awards & Achievements

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Electrical engineering

His main research concerns Electric power system, Wind power, Mathematical optimization, Energy storage and Renewable energy. His Electric power system research integrates issues from Electricity, Probabilistic logic, Probabilistic forecasting, Solar power and Environmental economics. His biological study spans a wide range of topics, including Carbon capture and storage and Energy management.

His Wind power research is multidisciplinary, incorporating elements of Power system simulation, Bidding, Automotive engineering, Cogeneration and Flexibility. His studies in Mathematical optimization integrate themes in fields like Computational complexity theory, Simulation and Robustness. His Energy storage study combines topics from a wide range of disciplines, such as Control engineering, Waste management, Distributed generation and Inner mongolia.

His most cited work include:

  • Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges (299 citations)
  • Increasing the Flexibility of Combined Heat and Power for Wind Power Integration in China: Modeling and Implications (293 citations)
  • Robust Optimization-Based Resilient Distribution Network Planning Against Natural Disasters (205 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Electric power system, Mathematical optimization, Electricity, Renewable energy and Wind power. He has researched Electric power system in several fields, including Electricity generation, Reliability engineering, Probabilistic logic and Control theory. The study incorporates disciplines such as Economic dispatch and Robustness in addition to Mathematical optimization.

His work in the fields of Electricity, such as Smart meter and Demand response, intersects with other areas such as Consumption. His Smart meter research includes elements of Data mining, Data analysis, Big data and Artificial intelligence. His work in Renewable energy covers topics such as Environmental economics which are related to areas like Distributed generation.

He most often published in these fields:

  • Electric power system (42.86%)
  • Mathematical optimization (26.89%)
  • Electricity (19.33%)

What were the highlights of his more recent work (between 2019-2021)?

  • Electric power system (42.86%)
  • Electricity (19.33%)
  • Renewable energy (17.37%)

In recent papers he was focusing on the following fields of study:

Chongqing Kang mainly focuses on Electric power system, Electricity, Renewable energy, Mathematical optimization and Smart meter. In his work, Computation and AC power is strongly intertwined with Control theory, which is a subfield of Electric power system. His Electricity research incorporates elements of Electricity generation, Environmental economics and Industrial organization.

His Renewable energy research incorporates themes from Wind power, Investment decisions, Energy storage, Market mechanism and Operations research. His Mathematical optimization study incorporates themes from Convergence, Representation, Reduction and Investment. His study on Smart meter also encompasses disciplines like

  • Cluster analysis which connect with Data-driven and Bidding,
  • Data analysis which intersects with area such as Data science,
  • Data mining that intertwine with fields like Probabilistic logic.

Between 2019 and 2021, his most popular works were:

  • Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic. (78 citations)
  • Implications of COVID-19 for the Electricity Industry: A Comprehensive Review (28 citations)
  • A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the US Electricity Sector. (25 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Artificial intelligence
  • Electrical engineering

His primary scientific interests are in Renewable energy, Electricity, Electric power system, Mathematical optimization and Investment. The various areas that Chongqing Kang examines in his Renewable energy study include Operations research, Investment decisions, Incentive, Cogeneration and Environmental economics. His Electricity research includes themes of Electricity generation, Market clearing, Network model and Externality.

His study in Electric power system is interdisciplinary in nature, drawing from both Wind power, Penetration, Control theory and Cluster analysis. The Wind power study combines topics in areas such as Representation, Laplace transform, Power system operators and Distributed computing. His Mathematical optimization research is multidisciplinary, relying on both Artificial neural network, Convergence and Selection.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges

Yi Wang;Qixin Chen;Tao Hong;Chongqing Kang.
IEEE Transactions on Smart Grid (2019)

408 Citations

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.
IEEE Transactions on Power Systems (2015)

365 Citations

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.
IEEE Transactions on Smart Grid (2016)

275 Citations

Robust Optimization-Based Resilient Distribution Network Planning Against Natural Disasters

Wei Yuan;Jianhui Wang;Feng Qiu;Chen Chen.
IEEE Transactions on Smart Grid (2016)

251 Citations

Unit Commitment With Volatile Node Injections by Using Interval Optimization

Yang Wang;Qing Xia;Chongqing Kang.
IEEE Transactions on Power Systems (2011)

221 Citations

Clustering of Electricity Consumption Behavior Dynamics Toward Big Data Applications

Yi Wang;Qixin Chen;Chongqing Kang;Qing Xia.
IEEE Transactions on Smart Grid (2016)

212 Citations

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

Jianxiao Wang;Haiwang Zhong;Ziming Ma;Qing Xia.
Applied Energy (2017)

210 Citations

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

Qixin Chen;Chongqing Kang;Qing Xia;Jin Zhong.
IEEE Transactions on Power Systems (2010)

209 Citations

Load profiling and its application to demand response: A review

Yi Wang;Qixin Chen;Chongqing Kang;Mingming Zhang.
Tsinghua Science & Technology (2015)

199 Citations

Modeling Conditional Forecast Error for Wind Power in Generation Scheduling

Ning Zhang;Chongqing Kang;Qing Xia;Ji Liang.
IEEE Transactions on Power Systems (2014)

194 Citations

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