A Hybrid Soft Computing Framework for Electrical Energy Optimization

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A Hybrid Soft Computing Framework for Electrical Energy Optimization

Electricity is a significant and essential player in the modern world economy. It translates into the social, economic, and sectorial growth of any region. The scarcity of these resources demands a highly efficient and robust energy management system (EMS). In the recent literature, many artificial...

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Bibliographic Details
Main Authors:	Akhtar, Shamim, Muhamad Zahim, Sujod, Rizvi, Syed Sajjad Hussain
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2021
Subjects:	QA76 Computer software T Technology (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/38583/ http://umpir.ump.edu.my/id/eprint/38583/1/A%20Hybrid%20Soft%20Computing%20Framework%20for%20Electrical%20Energy%20Optimization%20partial.pdf http://umpir.ump.edu.my/id/eprint/38583/2/IEEE_A_Hybrid_Soft_Computing_Framework_for_Electrical_Energy_Optimization.pdf

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