Now-a-days, different sectors of the economy are being significantly affected by the electricity variable. In this research, we analyzed the monthly electricity consumption in Pakistan for the period of January 1990 through December 2011, using linear and non linear modeling techniques. They include ARIMA, Seasonal ARIMA (SARIMA) and ARCH/GARCH models. Electricity consumption model reveals a si...

The paper examines the cointegration of the daily electric power system load and the weather by a field intelligent system. The daily load has been modelled by dynamic regressions. A "Daily Artificial Dispatcher" thermal intelligent system has been constructed. Time and energy tests have been obtained for this intelligent system. The improvement in the daily load forecast, achieved by this inte...

Electricity price forecasting has become an integral part of power system operation and control. In this paper, a wavelet transform (WT) based neural network (NN) model to forecast price profile in a deregulated electricity market has been presented. The historical price data has been decomposed into wavelet domain constitutive sub series using WT and then combined with the other time domain va...

the increasing consumption of electricity in iran is one of the greatest concerns of the government. using the subsidy-based pricing system is one of the main reasons of improper pattern of residential electricity consumption that has imposed great cost over the government due to the increased number of consumers and their improper way of consuming electricity. in this paper, we analyze the fac...

Short term load forecasting is always an important study from operational and planning point of view. But short term price forecasting is a new topic. In this study, with the implementation of machine learning techniques, a new algorithm is proposed to predict both load and price values. A machine learning techniques such as Principle Component Analysis, and K nearest neighbor points, are appli...

The mechanism of support schemes for achieving the required share of renewable energy sources (RES) was implemented into the energy sector. The issued amount of support requires state subsidies. The end-users of electricity are paying the mandatory procurement component taxes to cover these subsidies. The article examines the way of minimizing the influence of the existing RES supporting scheme...

In this paper, we present an empirical analysis of deregulated electricity prices. We begin by examining the distributional and temporal properties of the price process in a non-parametric framework. This analysis is followed by comparing the forecasting ability of several different statistical models. The findings reveal several characteristics unique to electricity prices, including determini...

abstract the aim of this study was to selecting the suitable model for forecast land, production and price of sugar beet in iran. for this purpose, models applied to forecast are arima, single and double exponential smoothing, harmonic, artificial neural network and arch for period 1993-2008. results of durbin-watson tests, land, production and price of sugar beet series were found non stochast...