Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic
2020 · Nature Communications · 785 citations
https://doi.org/10.1038/s41467-020-18922-7
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Chongqing Kang
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Chongqing Kang is an academic researcher. The author has contributed to research in topics: Electric Power System Optimization & Smart Grid Energy Management & Optimal Power Flow Distribution. The author has an h-index of 92, co-authored 470 publications.
ORCID: 0000-0003-2296-8250Papers by this author
worksProbabilistic individual load forecasting using pinball loss guided LSTM
2018 · Applied Energy · 431 citations
https://doi.org/10.1016/j.apenergy.2018.10.078
Cost increase in the electricity supply to achieve carbon neutrality in China
2022 · Nature Communications · 405 citations
https://doi.org/10.1038/s41467-022-30747-0
Probabilistic duck curve in high PV penetration power system: Concept, modeling, and empirical analysis in China
2019 · Applied Energy · 231 citations
https://doi.org/10.1016/j.apenergy.2019.03.067
Unit Commitment With Volatile Node Injections by Using Interval Optimization
2011 · IEEE Transactions on Power Systems · 209 citations
https://doi.org/10.1109/tpwrs.2010.2100050
Data-Driven Power Flow Linearization: A Regression Approach
2018 · IEEE Transactions on Smart Grid · 209 citations
https://doi.org/10.1109/tsg.2018.2805169
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