The purpose of this paper is to compare the accuracy of the three types of models: Autoregressive Integrated Moving Average (ARIMA) models, Holt-Winters models and Neural Network Auto-Regressive (NNAR) models in forcasting the Harmonized Index of Consumer Prices (HICP) for the countries of...

This paper employs regression discontinuity design to estimate the impact of heating modes on residents’ energy consumption, energy efficiency gap, and energy usage behavior, using the Chinese Residential Energy Consumption Survey (CRECS). We find that district heating increases total energy...

The size of the economy-wide rebound effect is crucial for estimating the contribution that energy efficiency improvements can make to reducing greenhouse gas emissions and for understanding the drivers of energy use. Existing estimates, which vary widely, are based on computable general...

We present a model for hourly electricity load forecasting based on stochastically time-varying processes that are designed to account for changes in customer behaviour and in utility production efficiencies. The model is periodic: it consists of different equations and different parameters for...

The aim of this paper is analyzing the effective factors on household electricity demand in Iran. For do it, we have used structural time series method with Kalman filter algorithm during 1974-2010 period. Results indicate that the elasticity of demand to price of electricity is -0.13 that it...