Volume & Issue no: Volume 11, Issue 5, September - October 2022
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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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