A Data-Driven Joint Chance-Constrained Game for Renewable Energy Aggregators in the Local Market
Author:
Affiliation:
1. School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia
2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Funder
Australian Research Council
UNSW Digital Grid Futures Institute, UNSW, Sydney, under a cross disciplinary fund scheme
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/5165411/10049220/09744121.pdf?arnumber=9744121
Reference31 articles.
1. Addressing supply-side risk in uncertain power markets: stochastic Nash models, scalable algorithms and error analysis
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4. Risk-Averse Energy Trading in Multienergy Microgrids: A Two-Stage Stochastic Game Approach
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