Research Article
Abstract
References
Information
Jeong, J.H., Chae, Y.T. (2017). Assessment of Input Variable Importance and Machine Learning Model Selection for Improving Short Term Load Forecasting on Different Building Types. Journal of Korean Institute of Architectural Sustainable Environment and Building Systems, 11(6), 586-598.
10.12972/jkiaebs.20170027
Deru, M., Field, K., Studer, D., Benne, K., Griffith, B., Torcellini, B., Liu, B., Halverson, M., Winiarski, D., Rosenberg, M., Yazdanian, M., Huang, J., Crawley, D. (2011). U.S. Department of Energy Commercial Reference Building Models of the National Building Stock (NREL/TP-5500-46861). National Renewable Energy Laboratory Technical Report.
10.2172/1009264
- Publisher :Korean Institute of Architectural Sustainable Environment and Building Systems
- Publisher(Ko) :한국건축친환경설비학회
- Journal Title :Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
- Journal Title(Ko) :한국건축친환경설비학회논문집
- Volume : 15
- No :3
- Pages :252-264
- Received Date : 2021-04-19
- Revised Date : 2021-06-11
- Accepted Date : 2021-06-16
- DOI :https://doi.org/10.22696/jkiaebs.20210022