Demand Response Management Using Advanced Data Analytics

Author(s)	Ghouse Baba Shaik
Country	United States
Abstract	Demand Response Management (DRM) is an essential component in current energy systems, allowing energy suppliers and customers to dynamically balance supply and demand. Advanced data analytics has transformed this field, providing real-time insights and predictive capabilities that improve energy usage patterns while lowering operating expenses. This article looks at the methodology, applications, and results of using advanced analytics into DRM. It shows crucial outcomes such as increased grid efficiency, increased customer participation, and lower energy waste, establishing analytics-driven DRM as a foundation for future energy sustainability.
Keywords	Demand Response Management, Data Analytics, Energy Efficiency, Smart Grids, Machine Learning, Predictive Modeling, Energy Sustainability, IoT, Real-Time Analytics, Renewable Integration, Load Balancing.
Field	Engineering
Published In	Volume 5, Issue 2, March-April 2023
Published On	2023-03-08
DOI	https://doi.org/10.36948/ijfmr.2023.v05i02.23409
Short DOI	https://doi.org/g82hrv

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International Journal For Multidisciplinary Research