A Comprehensive Artificial Intelligence-Based Approach to Hydropower Integration as a Renewable Energy Source

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Published: Dec 25, 2024
DOI: https://doi.org/10.32672/picmr.v7i1.2714
Keywords:
hydropower integration renewable energy energy utilization AI in energy systems

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Munawir
Universitas Syiah Kuala
Mahidin
Universitas Syiah Kuala
Yuwaldi Away
Universitas Syiah Kuala
Azwar
Universitas Syiah Kuala
Wan Izhan Nawawi Wan Ismail
Universiti Teknologi MARA

Abstract

A clean energy future depends on integrating renewable sources, such as hydropower. This research investigates the potential of AI to maximize hydropower’s value within the energy system. We aim to contribute to a more sustainable and efficient energy future by analyzing AI’s application in managing and optimizing hydropower systems. Research shows that AI can improve hydropower utilization, efficiency, flexibility, and reliability. Machine learning algorithms can predict river flows, optimize hydropower plant operations, and regulate control and monitoring systems in real-time. AI also supports planning and decision-making for new hydropower projects. While implementing AI requires an initial investment, the long-term economic, social, and environmental returns justify this outlay. Artificial intelligence has been proven to improve hydropower-based electricity systems’ efficiency, flexibility, and reliability as an environmentally friendly renewable energy source.

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Vol. 7 No. 1 (2025): ICMR
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Articles

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