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.
Authors
- Prateek Verma (ORCID: https://orcid.org/0000-0002-6402-8948)
- Arup Kumar Goswami (ORCID: https://orcid.org/0000-0003-1220-0125)
- Moses Makuei Jiet
- Aahash Kamble
- Siddhi Dhande
Institutions
- Datta Meghe Institute of Higher Education and Research (IN)
- Savitribai Phule Pune University (IN)
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