Machine learning-based load estimation model for a research office
This project addresses the challenge of load forecasting in research offices, where uneven energy usage leads to inefficient load management. Most effective models require extensive data inputs, such as weather and economic variables, which are not always available. Additionally, most models are s...
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フォーマット: | Final Year Project / Dissertation / Thesis |
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2024
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オンライン・アクセス: | http://eprints.utar.edu.my/6862/1/3E_1906647_FYP_report_%2D_JIA_CHENG_MOK.pdf http://eprints.utar.edu.my/6862/ |
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