Rüzgâr gücü üretimi için tahmin ve teklif sistemi tasarımı

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