Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
A Generic Framework for Predicting Energy Consumption of Public Building
With the increase in demand for energy, the energy conservation of the buildings has become important. In this paper, we propose a generic model for predicting the energy consumption of public building. The power usage of the Central Taiwan Industrial Innovation Park (CTIIP) would be used to exemplify the model. The methods of linear regression and various machine learning techniques were applied for the prediction. The experimental results demonstrate that the prediction model is reliable and feasible.
A Generic Framework for Predicting Energy Consumption of Public Building
With the increase in demand for energy, the energy conservation of the buildings has become important. In this paper, we propose a generic model for predicting the energy consumption of public building. The power usage of the Central Taiwan Industrial Innovation Park (CTIIP) would be used to exemplify the model. The methods of linear regression and various machine learning techniques were applied for the prediction. The experimental results demonstrate that the prediction model is reliable and feasible.
A Generic Framework for Predicting Energy Consumption of Public Building
Lecture Notes in Civil Engineering
Ha-Minh, Cuong (Herausgeber:in) / Tang, Anh Minh (Herausgeber:in) / Bui, Tinh Quoc (Herausgeber:in) / Vu, Xuan Hong (Herausgeber:in) / Huynh, Dat Vu Khoa (Herausgeber:in) / Liao, Jun-Mao (Autor:in) / Lin, Hung-Yi (Autor:in) / Chang, Luh-Maan (Autor:in)
CIGOS 2021, Emerging Technologies and Applications for Green Infrastructure ; Kapitel: 133 ; 1313-1322
28.10.2021
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Building energy conservation , Public building , Electricity consumption , Machine learning , Deep learning Engineering , Geoengineering, Foundations, Hydraulics , Sustainable Architecture/Green Buildings , Sustainable Development , Structural Materials , Cyber-physical systems, IoT , Professional Computing
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