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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2021
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| Subjects: | |
| 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 |
Internet
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