Background: Rapidly increasing residential electricity demand has made raising energy efficiency an important policy issue in controlling electricity demand. Methods: This study uses a stochastic frontier model to estimate the residential electricity demand function and analyse electricity energy efficiency levels and their determinants using regional data on Japan. Results: The results confirm...

As the Malaysian residential electricity consumption continued to increase rapidly, effective energy policies, which address factors affecting residential electricity consumption, is urgently needed. This study attempts to investigate the relationship between residential electricity consumption (EC), real disposable income (Y), price of electricity (Pe) and population (Po) in Malaysia for 1978-...

In recent years, aiming to reduce the Greenhouse Gas pollution and promote energy efficiency and conservation among consumers’ energy use, price policies and price changes derived from environmental regulations have played a more important role. In this paper, using the most recent annual state-level panel data for 48 states, I estimate a dynamic partial adjustment model for electricity demand ...

Climate change could significantly affect consumer demand for energy in buildings, as changing temperatures may alter heating and cooling loads. Warming climates could also lead to the increased adoption and use of cooling technologies in buildings. We assess residential electricity and natural gas demand in Los Angeles, California under multiple climate change projections and investigate the p...

Make your home solar is going to be reality within few years. Rooftop PV has been developed by Germany, Spain and Italy with the encouragement Feedin -Tariff system for early attaining towards grid parity. The rates of solar PV has been drastically reduced in recent years and approaching towards the grid parity. There has been increasing trend of grid connected residential rooftop PV worldwide ...

  This paper aimed at estimation of the per capita consumption of electricity in residential sector based on economic indicators in Iran. The Genetic Algorithm Electricity Demand Model (GAEDM) was developed based on the past data using the genetic algorithm approach (GAA). The economic indicators used during the model development include: gross domestic product (GDP) in terms of per capita and ...

in this paper, the residential demand for electricity equation is specified and then this equation is estimated using a pooling data for period 1983-90. the results of study for different regions of province show that the demand is less elastic with respect to average price of electricity and residential area, .but it is more elastic with respect to income and average number of households. thes...

Residential demand for electricity is estimated for China using a unique household level dataset. Household electricity demand is specified as a function of local electricity price, household income, and a number of social-economic variables at household level. We find that the residential demand for electricity responds rather sensitively to its own price in China, which implies that there is ...

This paper aimed at estimation of the per capita consumption of electricity in residential sector based on economic indicators in Iran. The Genetic Algorithm Electricity Demand Model (GAEDM) was developed based on the past data using the genetic algorithm approach (GAA). The economic indicators used during the model development include: gross domestic product (GDP) in terms of per capita and re...