Accelerating Clean and Affordable Energy Solutions Through Artificial Intelligence

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Authors: Khushi Kamble, Omkar Biramane, Gitanjali Shinde, Grishma Bobhate, Sonal Fatangare, Vijayshri Nitin Khedkar
Cited by: 0
References: 19

Abstract

The fact that the world is dynamic and sustainable energy is currently in high demand cannot be ignored. As industrialization grows, there is a spillover effect on urbanization and the aging population and system. The old ways of doing things can no longer be supported.Like all of the other primary disruptors, artificial intelligence has the capacity to solve the cost, reliability, and sustainability issues in the energy sector, and as we will soon see, it has started to do so. The more efficient production, capture, and distribution of renewable energies will be achieved using sophisticated computational forecasting, adaptive optimization algorithms, and self-learning controls. In other words, it will play a direct leading role in achieving the United Nations' Sustainable Development Objective 7 in ensuring universal access to affordable, reliable, sustainable, and modern energy.Coming from a systems perspective, the way we can have at the relationships between AI and clean energy systems is something we're now looking at in this chapter.

Fields of Study & Subjects

Artificial Intelligence Applications Smart Grid and Power Systems Power Systems and Renewable Energy

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
173–202
Publication date
14 January 2026
Document type
Book chapter