Forecast uncertainties real-time data-driven compensation scheme for optimal storage control
This study introduces a real-time data-driven battery management scheme designed to address uncertainties in load and generation forecasts, which are integral to an optimal energy storage control system. By expanding on an existing algorithm, this study resolves issues discovered during implementati...
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Main Authors: | Arbel Yaniv, Yuval Beck |
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Format: | Article |
Language: | English |
Published: |
KeAi Communications Co. Ltd.
2025-03-01
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Series: | Data Science and Management |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666764924000353 |
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