Add to ORKGThe thesis deals with time series modelling of electricity demand data. Various techniques are used including ARIMA modelling, error correction modelling and cointegration analysis. Some forecasts have also been generated
This thesis studies the demand for electric energy and ways of forecasting it, as an aid to the eco...
This paper estimates the income and price elasticities of the residential electricity demand for twe...
The purpose of this paper is to reveal the short run and long run dynamics of residential electricit...
This thesis presents six forecasting models for annual electricity consumption based on various time...
This paper describes the application of time-series modelling techniques to electricity consumption ...
The issue of obtaining reliable forecasting methods for electricity consumption has been widely disc...
Abstract: The present paper shows how cointegration analysis within a multivariate framework may be ...
Forecasting is an essential function in the electricity supply industry. Electricity demand forecast...
In the early 2000s, the Republic of Turkey has initiated an ambitious reform program in her electric...
Study utilizes cointegration and vector error correction analysis to determination the long and shor...
Electricity is a key energy source in each country and an important condition for economic developme...
With the increasing demand of energy, the energy production is not that much sufficient and that’s w...
The aim of the paper is twofold: First, to investigate the long-run economic relationship between el...
This article provides a solution based on statistical methods (ARIMA, ETS, and Prophet) to predict m...
Energy consumption and demand are two widely used terms necessary to understand the functioning of t...
This thesis studies the demand for electric energy and ways of forecasting it, as an aid to the eco...
This paper estimates the income and price elasticities of the residential electricity demand for twe...
The purpose of this paper is to reveal the short run and long run dynamics of residential electricit...
This thesis presents six forecasting models for annual electricity consumption based on various time...
This paper describes the application of time-series modelling techniques to electricity consumption ...
The issue of obtaining reliable forecasting methods for electricity consumption has been widely disc...
Abstract: The present paper shows how cointegration analysis within a multivariate framework may be ...
Forecasting is an essential function in the electricity supply industry. Electricity demand forecast...
In the early 2000s, the Republic of Turkey has initiated an ambitious reform program in her electric...
Study utilizes cointegration and vector error correction analysis to determination the long and shor...
Electricity is a key energy source in each country and an important condition for economic developme...
With the increasing demand of energy, the energy production is not that much sufficient and that’s w...
The aim of the paper is twofold: First, to investigate the long-run economic relationship between el...
This article provides a solution based on statistical methods (ARIMA, ETS, and Prophet) to predict m...
Energy consumption and demand are two widely used terms necessary to understand the functioning of t...
This thesis studies the demand for electric energy and ways of forecasting it, as an aid to the eco...
This paper estimates the income and price elasticities of the residential electricity demand for twe...
The purpose of this paper is to reveal the short run and long run dynamics of residential electricit...