Optimizing solar energy utilization in facilities using machine learning-based scheduling techniques: A case study
This study introduces an approach to improving the utilization of solar energy in facilities by integrating advanced machine learning (ML) techniques into solar power scheduling. Traditional methods, often constrained by static schedules, fail to adequately adapt to the inherently dynamic and interm...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Renewable and Sustainable Energy Transition |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667095X25000133 |
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