Methods of weather variables introduction into short-term electric load forecasting models - a review

• Autorzy: Janicki M.

Identyfikatory

DOI

10.15199/48.2017.04.18

Warianty tytułu

PL

Przegląd metod uwzględniania zmiennych pogodowych w modelach prognozowania krótkoterminowego

• Języki publikacji: EN

Abstrakty

EN

Short-term load forecasting (STLF) is a problem of noticeable significance for operation of power systems. Wide range of methodologies for STLF is given in the literature – univariate models as well as multivariate ones (mostly extended with weather variables). This paper is an attempt to categorize various approaches of introducing exogenous variables into models. Different classifications of this aspect are created and described in an effort to demonstrate the problem from various perspectives. Finally, the advantages and disadvantages of reviewed solutions are discussed.

PL

Krótkoterminowe prognozowanie obciążeń jest istotnym elementem działania systemów elektroenergetycznych. W literaturze opisane zostało szerokie spektrum metod – modele zarówno jedno- jak i wielowymiarowe (najczęściej używające zmiennych pogodowych). W pracy podjęto próbę przeglądu metod prognozowania pod kątem sposobu w jaki korzystają one ze zmiennych egzogenicznych. Przedstawiono klasyfikacje dla tych metod opisujące problem z różnych perspektyw.

Słowa kluczowe

EN

short-term load forecasting; exogenous variable; weather factors; temperature

PL

krótkoterminowe prognozowanie obciążenia; zmienna egzogeniczna; czynnik pogodowy; temperatura

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2017
• Tom: R. 93, nr 4
• Strony: 70--73
• Opis fizyczny: Bibliogr. 39 poz.

Twórcy

autor

Janicki M.

• student, Czestochowa University of Technology, al. Armii Krajowej 17, 42-200 Czestochowa, Poland

Bibliografia

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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).