Rüzgâr gücü üretimi için tahmin ve teklif sistemi tasarımı

Date

2013-12-01

Author

Aksoy, Semih Ali
Eryiğit, Emre
Hashimova, Narmin
İşbilir, Melike
Avşar, Zeynep Müge
Köksal, Gülser
Terciyanlı, Erman

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Wind energy has become an important field of study recently, especially in the countries having high potential of wind energy production such as Turkey. Among these studies, forecasting wind power production and choosing a bid for each power plant have an important place. In the scope of the project, firstly by applying a new clustering approach and then Local Quantile Regression to the data, interval forecasts are generated. This forecasting approach gives successful results when tested for power plants enrolled in Wind Power Monitoring and Forecasting Center. At the next stage, a method is proposed for forecasting electricity prices. At the last stage, a stochastic model is built to optimize the bidding strategies. This mixed-integer model takes production forecasts and electricity price scenarios as input and gives the optimal bid as output. The overall approach proposed in this study provides a considerable improvement in revenues when compared to the previous approaches.

Subject Keywords

Wind power forecasting, Bidding for wind power, Price forecasting, Electric energy

URI

https://hdl.handle.net/11511/83343
https://dergipark.org.tr/en/download/article-file/752372

Journal

Endüstri Mühendisliği Dergisi

Collections

Department of Industrial Engineering, Article

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Citation Formats

S. A. Aksoy et al., “Rüzgâr gücü üretimi için tahmin ve teklif sistemi tasarımı,” Endüstri Mühendisliği Dergisi, pp. 4–15, 2013, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/83343.