Intelligent Demand Response Strategies for Peak Load Shaving in Smart Grids
Volume: 13 - Issue: 06 - Date: 01-06-2024
Approved ISSN: 2278-1412
Published Id: IJAECESTU405 | Page No.: 132-138
Author: Devesh Srivastava
Co- Author: Prof. Ashish Bhargava
Abstract:-This The growing incorporation of renewable energy sources and the implementation of
intelligent grid systems have prompted the need for inventive demand response strategies. These approaches
aim to optimize energy consumption and bolster grid stability . This study explores intelligent demand
response techniques for peak load shaving in smart grids.
Harnessing sophisticated communication and control technologies without plagiarism., the proposed
strategies aim to dynamically adjust electricity consumption patterns among end-users to mitigate peak
demand, thereby optimizing grid performance.
The research introduces a framework for intelligent demand response, incorporating machine learning
algorithms to predict and manage peak load periods. By analyzing historical consumption patterns, weather
forecasts, and user preferences, the system autonomously adapts to changing conditions, providing real-time
insights to both consumers and grid operators. The efficiency of the suggested approaches is assessed using
simulations and case studies, ensuring originality and avoiding plagiarism., demonstrating significant
reductions in peak demand and associated benefits such as cost savings and enhanced grid reliability..
Key Words:-Smart Grids, Demand Response, Peak Load Shaving, Intelligent Strategies, Energy Management, Load Forecasting, Grid Optimization
Area:-Engineering
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