Please use this identifier to cite or link to this item: http://tailieuso.udn.vn/handle/TTHL_125/9745
Title: Data-driven Modeling for Improved Residential Building Electricity Consumption Prediction and HVAC Efficiency Evaluation
Other Titles: Mô hình dữ liệu để cải thiện dự báo tiêu thụ điện tòa nhà dân cư và đánh giá hiệu quả HVAC
Authors: Do, Thanh Huyen
???metadata.dc.contributor.advisor???: Cetin, Kristen, Prof.
Keywords: Residential building
Electricity consumption
HVAC
Prediction
Efficiency
Issue Date: 2018
Publisher: Iowa State University
Description: Doctoral thesis. Major: Civil Engineering (Construction Engineering and Management); 146 pages
???metadata.dc.description.tableofcontents???: Chapter 1. Introduction; Chapter 2. Residential building energy consumption: A review of energy data availability, characteristics and energy performance prediction methods; Chapter 3. Evaluation of the causes and impact of outliers on residential building energy use prediction using inverse modeling; ...
URI: http://tailieuso.udn.vn/handle/TTHL_125/9745
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