PDF- Requires Adobe Acrobat Reader or other PDF viewer In this article, we use half hourly spot electricity prices and load data for the National Electricity Market (NEM) of Australia for the period from December 1998 to February 2008 to test for episodic nonlinearity in the dynamics governing daily and weekly cycles in load and spot price time series data. We apply the portmanteau correlation, bicorrelation and tricorrelation tests introduced in Hinich (1996) to the time series of half hourly spot prices and load demand from 7/12/1998 to 29/02/2008 using a FORTRAN 95 program. We find the presence of significant third and fourth order (non-linear) serial dependence in the weekly load and spot price data in particular, but to a much more mar...
The deregulation of electricity markets in different parts of the world has exposed consumers to irr...
This paper examines the inter-relationship of wholesale spot electricity prices among the four regio...
Risk management in the electric power industry involves measuring the risk for all instruments owned...
In this article, we use half hourly spot electricity prices and load data for the National Electrici...
In this article, we show how tests of nonlinear serial dependence can be applied to high-frequency t...
In this article, we use half hourly spot electricity prices and load data for the National Electrici...
This article documents seasonal patterns and other characteristics of electricity spot prices in the...
With the liberalization of the market on the selling side, the user’s electricity load shows a stron...
In the last years, many electricity markets were subjected to deregulated operation where prices are...
During the past few decades, the power sectors of several countries have been substantially reorgani...
Abstract of associated article: In this research we investigate the problems of dynamic relationship...
Theoretical thesis.Bibliography: pages 95-1021 Introduction -- 2 Literature Review -- 3 Background -...
Abstract of associated article: The purpose of this study is to examine the fractal dynamics of day ...
Novel periodic extensions of dynamic long-memory regression models with autoregressive conditional h...
An increasing number of researchers attempt to model the behavior of electricity spot prices using s...
The deregulation of electricity markets in different parts of the world has exposed consumers to irr...
This paper examines the inter-relationship of wholesale spot electricity prices among the four regio...
Risk management in the electric power industry involves measuring the risk for all instruments owned...
In this article, we use half hourly spot electricity prices and load data for the National Electrici...
In this article, we show how tests of nonlinear serial dependence can be applied to high-frequency t...
In this article, we use half hourly spot electricity prices and load data for the National Electrici...
This article documents seasonal patterns and other characteristics of electricity spot prices in the...
With the liberalization of the market on the selling side, the user’s electricity load shows a stron...
In the last years, many electricity markets were subjected to deregulated operation where prices are...
During the past few decades, the power sectors of several countries have been substantially reorgani...
Abstract of associated article: In this research we investigate the problems of dynamic relationship...
Theoretical thesis.Bibliography: pages 95-1021 Introduction -- 2 Literature Review -- 3 Background -...
Abstract of associated article: The purpose of this study is to examine the fractal dynamics of day ...
Novel periodic extensions of dynamic long-memory regression models with autoregressive conditional h...
An increasing number of researchers attempt to model the behavior of electricity spot prices using s...
The deregulation of electricity markets in different parts of the world has exposed consumers to irr...
This paper examines the inter-relationship of wholesale spot electricity prices among the four regio...
Risk management in the electric power industry involves measuring the risk for all instruments owned...