Intelligent forecasting of residential heating demand for the District Heating System based on the monthly overall natural gas consumption
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Izadyar, Nima ORCID: 0000-0002-2487-5915, Ong, HC, Shamshirband, S, Ghadamian, H and Tong, CW (2015) Intelligent forecasting of residential heating demand for the District Heating System based on the monthly overall natural gas consumption. Energy and Buildings, 104. pp. 208-214. ISSN 0378-7788
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Item type | Article |
URI | https://vuir.vu.edu.au/id/eprint/42607 |
DOI | 10.1016/j.enbuild.2015.07.006 |
Official URL | https://www.sciencedirect.com/science/article/pii/... |
Subjects | Current > FOR (2020) Classification > 3302 Building Current > FOR (2020) Classification > 4602 Artificial intelligence Current > Division/Research > College of Science and Engineering |
Keywords | energy demand; energy consumption prediction; Extreme Learning Machine; artificial neural networks; genetic programming |
Citations in Scopus | 35 - View on Scopus |
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