A Comprehensive Artificial Intelligence-Based Approach to Hydropower Integration as a Renewable Energy Source
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.
Authors
- Mahidin Mahidin (ORCID: https://orcid.org/0000-0003-2547-4272)
- Munawir Munawir (ORCID: https://orcid.org/0000-0002-3435-0813)
- W.I. Nawawi (ORCID: https://orcid.org/0000-0003-1601-686X)
- Yuwaldi Away (ORCID: https://orcid.org/0000-0001-6798-054X)
- Azwar
Institutions
- Universitas Syiah Kuala (ID)
- Universiti Teknologi MARA (MY)
Publication Details
- Journal
- Proceedings of International Conference on Multidiciplinary Research
- Published
- 2024-12-25
- DOI
- https://doi.org/10.32672/picmr.v7i1.2714
- Primary Topic
- Energy Load and Power Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.00