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.

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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
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article

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

Mahidin Mahidin, Munawir Munawir, W.I. Nawawi, Yuwaldi Away et al.
Proceedings of International Conference on Multidiciplinary Research
Energy Load and Power Forecasting
article

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

Mahidin Mahidin, Munawir Munawir, W.I. Nawawi, Yuwaldi Away, Azwar
article en

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.

Proceedings of International Conference on Multidiciplinary ResearchVol. 7(1)
Universitas Syiah Kuala (ID), Universiti Teknologi MARA (MY)
Openalex Percentile: Top 53%
Energy Load and Power Forecasting
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A Comprehensive Artificial Intelligence-Based Approach to Hydropower Integration as a Renewable Energy Source — Mahidin Mahidin, Munawir Munawir, et al. · Proceedings of International Conference on Multidiciplinary Research (2024) | TGRS Research Map | TGRS