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Machine learning for a sustainable energy future

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2025Publisher:Royal Society of Chemistry (RSC)Journal:Chemical Communications, volume 61, pages 1,342-1,370 (issn: 1359-7345, eissn: 1364-548X,

Authors: Burcu Oral; Ahmet Coşgun; Aysegul Kilic; Damla Eroglu; M. Erdem Günay; Ramazan Yıldırım;

doi: 10.1039/d4cc05148c

pmid: 39704098

Machine learning for a sustainable energy future

- Summary

Abstract

In this review, the potential role of machine learning in sustainable energy and SGDs is analyzed; energy forecasting, planning, renewable energy production and storage are covered and an extensive perspective on the future role of ML is provided.

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Fields of Science (3) View all

engineering and technology

electrical engineering, electronic engineering, information engineering

Fields of Science

engineering and technology

electrical engineering, electronic engineering, information engineering

View all

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Energy Research