Application of Deep Learning in Monitoring Environmental Risks in Renewable Energy Projects

The integration of renewable energy sources like solar and wind is vital for sustainable energy, but these systems carry environmental risks that require advanced monitoring. Traditional methods often fail in real-time assessment, prompting the need for more accurate predictive models. This literatu

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.4108/eai.3-10-2024.2356242
Primary Topic
Engineering Diagnostics and Reliability
Type
article
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article

Application of Deep Learning in Monitoring Environmental Risks in Renewable Energy Projects

Suhendra Suhendra, Asmida Herawati
Engineering Diagnostics and Reliability
article

Application of Deep Learning in Monitoring Environmental Risks in Renewable Energy Projects

Suhendra Suhendra, Asmida Herawati
article en

Abstract

The integration of renewable energy sources like solar and wind is vital for sustainable energy, but these systems carry environmental risks that require advanced monitoring. Traditional methods often fail in real-time assessment, prompting the need for more accurate predictive models. This literatu

Openalex Percentile: Top 69%
Engineering Diagnostics and Reliability
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Application of Deep Learning in Monitoring Environmental Risks in Renewable Energy Projects — Suhendra Suhendra, Asmida Herawati · (2025) | TGRS Research Map | TGRS