Classification of LPG clients using the Hurst exponent and the correlation coeficient

• Autorzy: Domino K. , Głomb P. , Łaskarzewski Z.

Identyfikatory

DOI

10.20904/271013

• Języki publikacji: EN

Abstrakty

EN

In this paper we present the analysis of the gas usage for different types of buildings. First, we introduce the classical theory of building heating. This allows the establishment of theoretical relations between gas consumption time series and the outside air temperature for different types of buildings, residential and industrial. These relations imply dierent auto-correlations of gas usage time series as well as different cross-correlations between gas consumption and temperature time series for different types of buildings. Therefore, the autocorrelation and the cross-correlation were used to classify the buildings into three classes: housing, housing with high thermal capacity, and industry. The Hurst exponent was calculated using the global DFA to investigate auto-correlation, while the Kendall's τ rank coeficient was calculated to investigate cross-correlation.

Słowa kluczowe

EN

building heating; Hurst exponent; LPG distribution

• Wydawca: Instytut Informatyki Teoretycznej i Stosowanej Polskiej Akademii Nauk
• Czasopismo: Theoretical and Applied Informatics
• Rocznik: 2015
• Tom: Vol. 27, No. 1
• Strony: 13--24
• Opis fizyczny: Bibliogr. 15 poz., rys.

Twórcy

autor

Domino K.

• Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, 44-100 Gliwice, Poland

autor

Głomb P.

• Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, 44-100 Gliwice, Poland

autor

Łaskarzewski Z.

• AIUT Sp. z o.o., Wyczółkowskiego 113, 44-109 Gliwice

Bibliografia

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