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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.

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AI-ML Based Energy Management System

  • 会议论文

  • 发表日期：

    2025年

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  • Yara Hemavardhan Ram,
  • Chilamanthula Ashritha,
  • Challa Tharani,
  • P. V. Manitha,
  • S. Lekshmi

摘要

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.