Smart Grid Data Analytics for Predicting Building Energy Consumption Using Sliding Window Metaheuristic Optimization-based Machine Learning

Please use this identifier to cite or link to this item: http://tailieuso.udn.vn/handle/TTHL_125/7874

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DC Field	Value	Language
dc.contributor.advisor	Chou, Jui-Sheng, P.E.,Ph.D	-
dc.contributor.author	Ngo, Ngoc Tri	-
dc.date.accessioned	2018-03-19T04:20:56Z	-
dc.date.available	2018-03-19T04:20:56Z	-
dc.date.issued	2016-12-26	-
dc.date.submitted	2017-01-16	-
dc.identifier.uri	http://tailieuso.udn.vn/handle/TTHL_125/7874	-
dc.description	Doctoral thesis. Major: Construction Management; 215 pages	en
dc.description.abstract	Chapter 1. Introduction; Chapter 2. Literature Review; Chapter 3. Research Methodology; ...	en
dc.language.iso	en	en
dc.publisher	National Taiwan University of Science and technology	en
dc.source	University of Science and Technology - The University of Danang	en
dc.subject	Smart grid data	en
dc.subject	Energy saving	en
dc.subject	Building energy management	en
dc.subject	Pattern prediction	en
dc.subject	Timeseries data analytics	en
dc.subject	Metaheuristic optimization	en
dc.subject	Machine learning	en
dc.subject	Least squares support vector regression	en
dc.subject	Firefly algorithm	en
dc.title	Smart Grid Data Analytics for Predicting Building Energy Consumption Using Sliding Window Metaheuristic Optimization-based Machine Learning	en
dc.title.alternative	Phân tích dữ liệu lưới điện thông minh để dựa báo mức tiêu thụ năng lượng điện sử dụng học máy tối ưu	en
dc.type	Ph.D Thesis	en
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File	Description	Size	Format
NgoNgocTri.TT.pdf	Abstract & Table of Contents	2.52 MB	Adobe PDF	View/Open
NgoNgocTri.TV.pdf	Fulltext	4.48 MB	Adobe PDF	View/Open Request a copy