An Online Learning Framework for Targeting Demand Response Customers
Author:
Funder
KAUST-MIT Research Collaborative CRG-7 Award
Siebel Scholars Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/5165411/9662085/09583589.pdf?arnumber=9583589
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2. Identification and modelling of parameters for the information-physical-social convergence characteristics of user-side flexible resources;Journal of Computational Methods in Sciences and Engineering;2023-12-15
3. A new machine learning-based approach for cross-region coupled wind-storage integrated systems identification considering electricity demand response and data integration: A new provincial perspective of China;Energy;2023-11
4. Real-Time Incentive Design Under Unknown Demand Response Curves via a Proportional–Integral Control Frameworks;IEEE Transactions on Smart Grid;2023-09
5. Day-Ahead Bidding Strategy of Load Aggregators Based on Incentive Demand Response;2023 3rd Power System and Green Energy Conference (PSGEC);2023-08
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