Risk assessment due to electricity demand forecasting under uncertainty
Küçük Resim Yok
Tarih
2013
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
With the new regulations in Turkey, companies have started to buy electricity from different suppliers in the market. Thus, from the perspective of the electricity providers demand forecasting has become a significant issue. Errors in electricity demand forecasting generate a considerable amount of risk. For electricity suppliers, assessment of this risk caused by the uncertainty has become an important issue. In this paper real world case study is given and Value-At-Risk (VAR) value is calculated due to load forecast errors. The ARIMA and Grey forecasting methods are used for predicting the electricity consumption. © 2013 Taylor & Francis Group.
Açıklama
4th International Conference on Risk Analysis and Crisis Response, RACR 2013 -- 27 August 2013 through 29 August 2013 -- Istanbul -- 100914
Anahtar Kelimeler
Kaynak
Intelligent Systems and Decision Making for Risk Analysis and Crisis Response - Proceedings of the 4th International Conference on Risk Analysis and Crisis Response, RACR 2013
WoS Q Değeri
Scopus Q Değeri
N/A
