HIGHLIGHTS
- who: Imed Khabbouchi and collaborators from the University of Monastir, Monastir, Tunisia Electrical Engineering and Computer Sciences, University of Sherbrooke, Sherbrooke, QC J K , Canada have published the research work: Machine Learning and Game-Theoretic Model for Advanced Wind Energy Management Protocol (AWEMP), in the Journal: Energies 2023, 2179 of /2023/
- what: The authors propose the Algorithm 2 to resolve Equations -(14). The authors proposed a decentralized GT (D-GT) model aiming to optimize GT-based strategy outperformed the benchmark strategies in terms of overall profits. the EVs` the D-EVSE considering both EVs` satisfaction . . .
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