Real-time peak-demand minimization with energy storage using competitive ratio

Yanfang Mo^*
, Qiulin Lin
, Minghua Chen^*
, S. Joe Qin

^*Corresponding author for this work

Department of Data Science

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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CRF: Machine Learning for Reliable and Efficient Power System Operation Considering Renewable and Load Uncertainty
CHEN, M. (Principal Investigator / Project Coordinator), ZHANG, Z. (Co-Principal Investigator), ZHAO, C. (Co-Principal Investigator), LIU, Y. (Co-Investigator) & LOW, S. (Co-Investigator)
3/02/25 → …
Project: Research
CRF-Sub-pj: Machine Learning for Reliable and Efficient Power System Operation Considering Renewable and Load Uncertainty
ZHANG, Z. (Principal Investigator / Project Coordinator)
3/02/25 → …
Project: Research
GRF: Competitive and Prediction-Aware Online Optimization for Storage-Assisted Demand Response under Load Uncertainty and Peak-Demand Charge
CHEN, M. (Principal Investigator / Project Coordinator)
1/12/21 → …
Project: Research