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Distributed energy storage (DES) systems have become a promising technology that can address challenges related to intermittent renewable energy, grid stability, and demand fluctuations.
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These stations effectively enhance solar energy utilization, reduce costs, and save energy from both user and energy perspectives, contributing to the achievement of the “dual carbon” goals.
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The authors performed a clustering method to identify patterns on Energy Storage System (ESS) profiles, finding the optimal number of clusters first. The results show the importance of ESS
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