A statistical model for the estimation of natural gas consumption

被引：48
|
作者：
Vondracek, Jiri [1 ]
Pelikan, Emil [1 ]
Konar, Ondrej [1 ]
Cermakova, Jana [1 ]
Eben, Krystof [1 ]
Maly, Marek [1 ]
Brabec, Marek [1 ]
机构：
[1] Acad Sci Czech Republic, Inst Comp Sci, Prague 18207 8, Czech Republic
来源：
APPLIED ENERGY | 2008年 / 85卷 / 05期
关键词：
nonlinear regression; gas consumption modeling;
D O I：
10.1016/j.apenergy.2007.07.004
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper we present a statistical approach to natural gas consumption estimation of individual residential and small commercial customers. The approach is based on nonlinear regression principles. Parameters are estimated using mainly two real data sets - ordinary (approximately annual) meter readings of almost all customers and additional (approximately monthly) meter readings designed and operated within the frame of cooperation between the Institute of Computer Science of the Czech Academy of Sciences (ICS) and the West Bohemian Gas Distribution Company, a part of the RWE Group (WBG). The model was tested on various data sets. It has broad applicability in many areas of gas industry. (C) 2007 Published by Elsevier Ltd.
引用
收藏
页码：362 / 370
页数：9
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