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AI-ML Based Energy Management System

Publication Type : Book Chapter

Publisher : Springer Nature Singapore

Source : Smart Innovation, Systems and Technologies

Url : https://doi.org/10.1007/978-981-97-8096-9_26

Campus : Bengaluru

School : School of Engineering

Department : Electrical and Electronics

Year : 2025

Abstract : The increasing demand for clean, green, and sustainable energy has led to the discovery and usage of available renewable sources. Among all the renewable sources solar and wind are excessively available in nature and are equally eco-friendly. By integrating both the above-mentioned sources, it is possible to make a more reliable energy source which generates maximum overall energy output and reduces the disadvantages of having a single source. In this work, AI and ML-based algorithms have been used to predict the energy demand of a location and to control the power to be generated accordingly. This provides efficient use of power management and improves the system’s accuracy and overall power generation and grid stability.

Cite this Research Publication : Yara Hemavardhan Ram, Chilamanthula Ashritha, Challa Tharani, P. V. Manitha, S. Lekshmi, AI-ML Based Energy Management System, Smart Innovation, Systems and Technologies, Springer Nature Singapore, 2025, https://doi.org/10.1007/978-981-97-8096-9_26

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