Load forecasting using nonlinear modelling

István Vajk

doi:10.1016/j.conengprac.2004.07.006

2005-07-01

PRE

István Vajk

Jenő Hetthéssy

DOI：10.1016/j.conengprac.2004.07.006

原文链接

摘要

En 中文

The best-possible prediction of the gas consumption represents highly valuable information for gas producers. Using an appropriate model of the time-dependent and nonlinear gas consumption process, a prediction scheme can be set up for all the nodes in a gas network. In this paper, a nonlinear model with several inputs using noisy observations is built up as a combination of a prespecified dynamical term and an unknown static nonlinear component realized by region-wise base point driven interpolation. Also, the details of the practical application for a real gas network are shown. (c) 2004 Published by Elsevier Ltd.

Keyword:

system identification

nonlinear systems

errors-in-variables estimation

approximation methods

load forecasting