AI-Enabled Energy Optimization in Smart Grids Using Predictive Models

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Published: Jan 14, 2025

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Ravi Shanket

Abstract

Smart grids require efficient energy management to balance supply and demand. This paper presents an AI-based predictive model for optimizing energy distribution in smart grid systems. Machine learning techniques are used to forecast energy consumption patterns and adjust supply dynamically. The proposed system reduces energy wastage and enhances grid stability. Simulation results indicate improved efficiency and cost savings, highlighting the role of AI in sustainable energy systems.

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How to Cite
Shanket, R. (2025). AI-Enabled Energy Optimization in Smart Grids Using Predictive Models. Transactions on Intelligent Computing and Data Systems , 3(3). Retrieved from https://publications.issri.in/index.php/ticds/article/view/10
Issue
Vol. 3 No. 3 (2025): TICDS
Section
Articles
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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