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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