Estimation of unbalance cost due to demand prediction errors using artificial neural network
| dc.contributor.author | Tümer, Abdullah Erdal | |
| dc.contributor.author | Yavuz, Cankat | |
| dc.contributor.author | Koçer, Sabri | |
| dc.date.accessioned | 2018-10-31T08:08:44Z | |
| dc.date.available | 2018-10-31T08:08:44Z | |
| dc.date.issued | 2018 | |
| dc.description | Url: http://sutod.selcuk.edu.tr/sutod/article/view/416 | en_US |
| dc.description.abstract | Estimation of energy demand is used as an important tool for decision makers determining company strategies and policies. Apart from this, the fact that the actual consumption differs from the forecast is harmful for the economy of the company and even for the economy of the big scale. In this study, it is aimed to estimate the imbalance aberration caused by demand forecast deviation with Artificial Neural Networks and to evaluate its results. | en_US |
| dc.identifier.citation | Tümer, A. E., Yavuz, C., Koçer, S. (2018). Estimation of unbalance cost due to demand prediction errors using artificial neural network. Selçuk-Teknik Dergisi, (Özel sayı), 27-37. | en_US |
| dc.identifier.endpage | 37 | |
| dc.identifier.issn | 1302-6178 | en_US |
| dc.identifier.startpage | 27 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12395/13190 | |
| dc.language.iso | tr | en_US |
| dc.publisher | Selçuk Üniversitesi Teknik Bilimler Meslek Yüksekokulu | en_US |
| dc.relation.ispartof | Selçuk-Teknik Dergisi | en_US |
| dc.relation.publicationcategory | Makale - Kategori Belirlenecek | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.selcuk | 20240510_oaig | en_US |
| dc.subject | Artificial neural network | en_US |
| dc.subject | Demand prediction | en_US |
| dc.subject | Unbalance cost | en_US |
| dc.subject | Energy demand | en_US |
| dc.subject | Yapay sinir ağı | en_US |
| dc.subject | Talep tahmini | en_US |
| dc.subject | Dengesizlik maliyeti | en_US |
| dc.subject | Enerji talebi | en_US |
| dc.title | Estimation of unbalance cost due to demand prediction errors using artificial neural network | en_US |
| dc.type | Article | en_US |
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