An optimized variant of machine learning algorithm for datadriven electrical energy efficiency management (D2EEM)
The electricity at the most demanded energy source around the globe. At the same time, it is critically limited to meet the demand. There are only two logical solutions to meet this demand. First, to increase the power generation capacity, enhance transmission technology, and improve power generatio...
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| Format: | Thesis |
| Language: | English |
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2024
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| Online Access: | http://umpir.ump.edu.my/id/eprint/44987/1/An%20optimized%20variant%20of%20machine%20learning%20algorithm%20for%20datadriven%20electrical%20energy%20efficiency%20management%20%28D2EEM%29.pdf |