Year: 2025
Type: article
Abstract: The urgent need to conflict climate change and reduce reliance on fossil fuels has driven the universal evolution to regenerative energy. However, the efficient integration and management of regenerative energy origin such as solar, hydropower wind, pose essential challenges, including intermittency, energy storage, and grid optimization. This paper presents an analysis in the impact of AI for the enhancement of renewable energy production. By adopting AI-Driven algorithms and methods such as predictive analysis, Calibrating energy generation, tracking and ensuring operations of smart grid, decreasing the lag time and operational expenses of turbines and solar panels. This research emphasizes the power of AI which will revolutionize the future of energy production, advancing global objectives for carbon neutrality and ecological preservation.
Authors: Ms. M. Valarmathi, Dr. N. Kowsalya, Ms. S. Samundeeswari, Mr. M. Baskar, Ms. R. Vimala Devi, Ms. N. Kokila
Institution: KS Rangasamy College of Arts and Science
Language: English
Subfield: Energy Engineering and Power Technology
Field: Energy
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4408074511