Fuzzfied Approach for Energy Management in Electrical Demand

A Kumar, Umesh Prasad, Raj Kumar Ohdar

Abstract: An advanced control and optimization technique is widely accepted as a cost-effective solution for increasing plant performance. It has been proven to breathe new life into older, less efficient plants by enabling them to do what once seemed not possible, that is a simultaneously produce more power, maximize profits, and become more ecologically friendly. This study proposes a comprehensive fuzzy strategy to optimizing a GenCos profit in a competitive power market while also taking into account energy management. Energy efficiency and conservation are major economic and environmental problems for any company in today’s environment. The industrial sector in India accounts for nearly half of all commercial energy use. There is a massive opportunity for energy savings of between 15 and 25 percent. Energy management is necessary since it appears that energy conservation doubles as energy production. The suggested method generates an optimal profit fuzzy function that represents energy management and assists in risk hedging. Keyword: Energy Management, Fuzzy Logic, Electrical Demand.

Title:	Fuzzfied Approach for Energy Management in Electrical Demand
Author Name:	A Kumar, Umesh Prasad, Raj Kumar Ohdar
Abstract:	Abstract: An advanced control and optimization technique is widely accepted as a cost-effective solution for increasing plant performance. It has been proven to breathe new life into older, less efficient plants by enabling them to do what once seemed not possible, that is a simultaneously produce more power, maximize profits, and become more ecologically friendly. This study proposes a comprehensive fuzzy strategy to optimizing a GenCos profit in a competitive power market while also taking into account energy management. Energy efficiency and conservation are major economic and environmental problems for any company in today’s environment. The industrial sector in India accounts for nearly half of all commercial energy use. There is a massive opportunity for energy savings of between 15 and 25 percent. Energy management is necessary since it appears that energy conservation doubles as energy production. The suggested method generates an optimal profit fuzzy function that represents energy management and assists in risk hedging. Keyword: Energy Management, Fuzzy Logic, Electrical Demand.
Cite this article:	A Kumar, Umesh Prasad, Raj Kumar Ohdar , " Fuzzfied Approach for Energy Management in Electrical Demand " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 11, Issue 5, September - October 2022 , pp. 009-012 , ISSN 2278-6856.
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