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AI and Machine Learning for Energy Optimization
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Author(s): Birudala Venkatesh Reddy (Sri Venkateswara College of Engineering, India), K. Anju Aravind (Koneru Lakshmaiah Educational Foundation, India), Mohammad Shabbir Alam (College of Engineering and Computer Science, Jazan University, Saudi Arabia), Shantanu Datta (Guru Nanak Institute of Technology, India), B. Karunamoorthy (Kumaraguru College of Technology, India), Satyajee Srivastava (M.M. Engineering College, Maharishi Markandeshwar University, India)and V. Bhoopathy (Sree Rama Engineering College, India)
Copyright: 2025
Pages: 26
Source title:
Energy Efficient Algorithms and Green Data Centers for Sustainable Computing
Source Author(s)/Editor(s): P.J. Beslin Pajila (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India), Belfin Robinson Vimala (University of North Carolina, USA), Y. Harold Robinson (Francis Xavier Engineering College, India)and C. Gopala Krishnan (GITAM University, India)
DOI: 10.4018/979-8-3373-0766-4.ch017
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Abstract
ML and AI can transform energy optimisation in numerous industries. This chapter discusses how AI and ML have revolutionized price, energy efficiency, and environmental sustainability. AI-powered systems can optimise the grid's renewable energy integration, manage energy resources in real time, and forecast consumption trends using optimization, and predictive analytics. Smart grids, renewable energy forecasting, industrial energy management, smart buildings, and EV charging infrastructure are major applications. This chapter also discusses these fields ML methodologies. Supervised learning estimates energy consumption, RL regulates energy adaptively, and deep learning analyzes complicated data. This chapter presents effective AI-driven energy solution case studies. Edge AI, decentralized energy management, and intelligent storage technologies are also covered. It address data security, ethical concerns, and regulatory compliance caused by AI's growing use in energy optimisation to achieve a sustainable and egalitarian future.
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