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.
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