Short-term management of hydro-power systems based on uncertainty model in electricity markets

• Autorzy: Firouz M. H. , Ghadimi N.
• Języki publikacji: EN

Abstrakty

EN

There are several methods for generating scenarios in stochastic programming. With extensive historical data records, one possibility is to represent the probability distribution of the uncertain data using a statistical model suitable for sampling. This method is especially useful for handling uncertain data that develops over time by means of time series analysis. In this paper a time series model relevant to the short-term management of hydropower systems is proposed. This further illustrates the abilities of the models to capture developments in uncertain data over time. To demonstrate the validity of this model, results from the Nordic power exchange Nord Poland a Norwegian power plant are presented.

Słowa kluczowe

EN

feature selection; hybrid forecast engine; price forecast

PL

selekcja cech; prognoza cen

• Wydawca: Institute of Heat Engineering, Warsaw University of Technology
• Czasopismo: Journal of Power Technologies
• Rocznik: 2015
• Tom: Vol. 95, nr 4
• Strony: 265--272
• Opis fizyczny: Bibliogr. 12 poz., tab., wykr.

Twórcy

autor

Firouz M. H.

• Department of Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran

autor

Ghadimi N.

• Young Researchers and Elite club, Ardabil Branch, Islamic Azad University, Ardabil, Iran

Bibliografia

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