Приказ основних података о документу
Support vector machine for the prediction of heating energy use
dc.creator | Sretenović, Aleksandra | |
dc.creator | Jovanović, Radiša | |
dc.creator | Novaković, Vojislav M. | |
dc.creator | Nord, Nataša M. | |
dc.creator | Živković, Branislav | |
dc.date.accessioned | 2022-09-19T18:32:20Z | |
dc.date.available | 2022-09-19T18:32:20Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 0354-9836 | |
dc.identifier.uri | https://machinery.mas.bg.ac.rs/handle/123456789/2893 | |
dc.description.abstract | Prediction of a building energy use for heating is very important for adequate energy planning. In this paper the daily district heating use of one university campus was predicted using the support vector machine model. Support vector machine is the artificial intelligence method that has recently proved that it can achieve comparable, or even better prediction results than the much more used artificial neural networks. The proposed model was trained and tested on the real, measured data. The model accuracy was compared with the results of the previously published models (various neural networks and their ensembles) on the same database. The results showed that the support vector machine model can achieve better results than the individual neural networks, but also better than the conventional and multistage ensembles. It is expected that this theoretically well-known methodology finds wider application, especially in prediction tasks. | en |
dc.publisher | Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd | |
dc.relation | Norwegian Programme in Higher Education, Research and Development in the Western Balkans, Programme 3: Energy Sector (HERD Energy) | |
dc.rights | openAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.source | Thermal Science | |
dc.subject | support vector machine | en |
dc.subject | heating use prediction | en |
dc.subject | artificial intelligence models | en |
dc.title | Support vector machine for the prediction of heating energy use | en |
dc.type | article | |
dc.rights.license | BY-NC-ND | |
dc.citation.epage | S1181 | |
dc.citation.other | 22: S1171-S1181 | |
dc.citation.rank | M22 | |
dc.citation.spage | S1171 | |
dc.citation.volume | 22 | |
dc.identifier.doi | 10.2298/TSCI170526126S | |
dc.identifier.fulltext | http://machinery.mas.bg.ac.rs/bitstream/id/1587/2890.pdf | |
dc.identifier.scopus | 2-s2.0-85057111447 | |
dc.identifier.wos | 000450540300018 | |
dc.type.version | publishedVersion |