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researcher

Chongqing Kang

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • eess.SY1
ORCID 0000-0003-2296-8250

identity via Semantic Scholar / OpenAlex

most citedReal-time scheduling of renewable power systems through planning-based reinforcement learning

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2023★ 3 cited

Real-time scheduling of renewable power systems through planning-based reinforcement learning

Shaohuai Liu, Jinbo Liu, Weirui Ye +8

The growing renewable energy sources have posed significant challenges to traditional power scheduling. It is difficult for operators to obtain accurate day-ahead forecasts of rene…

eess.SY2021

Open-Access Data and Toolbox for Tracking COVID-19 Impact on Power Systems

Guangchun Ruan, Zekuan Yu, Shutong Pu +5

Intervention policies against COVID-19 have caused large-scale disruptions globally, and led to a series of pattern changes in the power system operation. Analyzing these pandemic-…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.