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Advisor(s)
Abstract(s)
In this paper, multiple evolutionary algorithms are applied to solve an energy resource management problem in the day-ahead context involving a risk-based analysis corresponding to the proposed 2022
competition on evolutionary computation. We test numerous evolutionary algorithms for a risk-averse day-ahead operation to show preliminary results for the competition. We use evolutionary computation to follow the competition guidelines. Results show that the HyDE algorithm obtains a better solution with lesser costs when
compared to the other tested algorithm due to the minimization of worst-scenario impact.
Description
Keywords
Computing methodologies Search methodologies Applied computing Engineering
Citation
Publisher
ACM