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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM41198
Volume:
9 |
1 |
Jan 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The energy sector faces growing challenges, including surging demand, resource limitations, and the urgent need for sustainability. Traditional energy management systems struggle to meet these challenges, especially with the increasing adoption of renewable energy sources and the need for stable and reliable grid operations. Artificial Intelligence (AI) has emerged as a transformative solution, offering advanced capabilities in demand forecasting, energy optimization, and real-time grid management. This paper explores the role of AI in addressing the complexities of modern energy management, using Tata Power’s AI-based energy management system as a case study. Tata Power’s innovative approach leverages AI algorithms and data-driven insights to optimize energy efficiency, reduce wastage, and integrate renewable energy sources seamlessly. The system also enhances grid stability through predictive analytics and automated decision-making, setting a benchmark for the industry. The study delves into the challenges that prompted Tata Power to adopt AI and examines the conceptual framework of its implementation. By presenting the benefits and scalability of AI-driven energy solutions, this paper provides a roadmap for other energy providers to achieve efficiency and sustainability. The findings underline the critical role of AI in shaping the future of energy management and its potential to revolutionize the power sector on a global scale.
KEYWORDS
Publication Date
1/30/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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