A non-linear multivariable regression model for midterm energy forecasting of power systems

Autor:	S. Kavatza, E.N. Dialynas, Nikos Hatziargyriou, George J. Tsekouras
Rok vydání:	2007
Předmět:	Nonlinear system Electric power system Transformation (function) Multivariable calculus Statistics Energy Engineering and Power Technology Regression analysis Electrical and Electronic Engineering Nonlinear regression Regression Weighting Mathematics
Zdroj:	Electric Power Systems Research. 77:1560-1568
ISSN:	0378-7796
DOI:	10.1016/j.epsr.2006.11.003
Popis:	The objective of this paper is to describe a non-linear multivariable regression method for midterm energy forecasting of power systems in annual time base. This method performs an extensive search in order to select the appropriate transformation functions of input variables, the weighting factors and the training periods to be used, by taking into consideration the correlation analysis of the selected input variables. With this procedure the best forecasting model is formed. Results are presented that are obtained applying the described method for the Greek power system and for different categories of low voltage customers. These results are also compared to those obtained from the application of standard regression methods.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7e2a0d7047a56ccaed7585db1e0eeed9 https://doi.org/10.1016/j.epsr.2006.11.003 Zobrazit plný text záznamu Full Text from ScienceDirect