Advancing Energy Sustainability with Artificial Intelligence in Power Systems

Power systems are changing as a result of the integration of artificial intelligence (AI) technology. These innovations address issues with renewable energy integration, evolving consumption patterns, and the requirement for increased system dependability and efficiency. This thorough research examines the function and effects of artificial intelligence (AI) in power systems, examining case studies and the body of existing literature to clarify the uses, advantages, difficulties, and potential paths for AI adoption. Through an analysis of AI-powered solutions in power generation, transmission, distribution, and control, this study provides policymakers, utilities, academics, and industry participants with knowledge about how AI may be used to tackle urgent energy issues and enable sustainable energy transitions.

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Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1109/iccubea61740.2024.10774921
Citations
2
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
0.42
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article

Advancing Energy Sustainability with Artificial Intelligence in Power Systems

Prateek Verma, Arup Kumar Goswami, Moses Makuei Jiet, Aahash Kamble et al.
2 citations
Energy Load and Power Forecasting
0.42
article

Advancing Energy Sustainability with Artificial Intelligence in Power Systems

Prateek Verma, Arup Kumar Goswami, Moses Makuei Jiet, Aahash Kamble, Siddhi Dhande
article en
2 citations

Abstract

Power systems are changing as a result of the integration of artificial intelligence (AI) technology. These innovations address issues with renewable energy integration, evolving consumption patterns, and the requirement for increased system dependability and efficiency. This thorough research examines the function and effects of artificial intelligence (AI) in power systems, examining case studies and the body of existing literature to clarify the uses, advantages, difficulties, and potential paths for AI adoption. Through an analysis of AI-powered solutions in power generation, transmission, distribution, and control, this study provides policymakers, utilities, academics, and industry participants with knowledge about how AI may be used to tackle urgent energy issues and enable sustainable energy transitions.

Datta Meghe Institute of Higher Education and Research (IN), Savitribai Phule Pune University (IN)
Responsible consumption and production
Openalex Percentile: Top 35%
Energy Load and Power Forecasting
0.42
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Advancing Energy Sustainability with Artificial Intelligence in Power Systems — Prateek Verma, Arup Kumar Goswami, et al. · (2024) | TGRS Research Map | TGRS