Özet
Developing countries are trying to improve the competitiveness of the energy markets with continuous liberalization. This makes the market highly sensitive. Every player in the market has a greater need to know about the smallest change in the market. Hence, ability to see what is ahead is a valuable advantage to make the right move. A time series forecasting with the smallest errors would be a powerful tool for the energy producers. This paper proposes combined methodology in time series forecasting. Generally accepted and widely used ARIMA and ANN with backpropagation learning are combined. The methodology is implemented for the day-ahead Turkish power market. It is observed that the proposed methodology gives results with reduced errors. The achievements are compared with conventional use of both ARIMA and ANN.
Orijinal dil | İngilizce |
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Ana bilgisayar yayını başlığı | PICMET 2016 - Portland International Conference on Management of Engineering and Technology |
Ana bilgisayar yayını alt yazısı | Technology Management For Social Innovation, Proceedings |
Editörler | Timothy R. Anderson, Dundar F. Kocaoglu, Kiyoshi Niwa, Gary Perman, Dilek Cetindamar Kozanoglu, Tugrul U. Daim |
Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
Sayfalar | 2681-2690 |
Sayfa sayısı | 10 |
ISBN (Elektronik) | 9781509035953 |
DOI'lar | |
Yayın durumu | Yayınlandı - 4 Oca 2017 |
Etkinlik | 2016 Portland International Conference on Management of Engineering and Technology, PICMET 2016 - Honolulu, United States Süre: 4 Eyl 2016 → 8 Eyl 2016 |
Yayın serisi
Adı | PICMET 2016 - Portland International Conference on Management of Engineering and Technology: Technology Management For Social Innovation, Proceedings |
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???event.eventtypes.event.conference??? | 2016 Portland International Conference on Management of Engineering and Technology, PICMET 2016 |
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Ülke/Bölge | United States |
Şehir | Honolulu |
Periyot | 4/09/16 → 8/09/16 |
Bibliyografik not
Publisher Copyright:© 2016 Portland International Conference on Management of Engineering and Technology, Inc.