Predicting hydropower generation: A comparative analysis of Machine learning models and optimization algorithms for enhanced forecasting accuracy and operational efficiency
Exponential global population growth and rapid technological advancements have increased electricity demand, strained the fossil fuel-reliant energy infrastructure, and exacerbated environmental issues like greenhouse gas emissions and climate change. Transitioning to sustainable energy sources is e...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Ain Shams Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447925000401 |
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