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...

Accurate modeling and forecasting monthly electricity consumption are the keys to optimizing energy management and planning. This paper examines the seasonal characteristics of electricity consumption in Hong Kong—a subtropical city with 7 million people. Using the data from January 1970 to December 2014, two novel nonlinear seasonal models for electricity consumption in the residential and com...

The energy use increases rapidly due to growth in population, urbanization, and economic growth. Residential electricity consumption has an important place in the rapidly growing electricity consumption in India. Most of the studies that are carried out for energy planning in India, use macrolevel data for the estimation of price and income elasticities of electricity demand. The present study ...

This article attempts to examine the factors affecting residential electricity consumption through two approaches, a socioeconomic perspective and a direct use perspective. The results of this study find that gross domestic product (GDP), employment rates, residential space, and the implementation of energy labeling schemes provide significant impacts on residential electricity consumption. How...

In this paper we make research in Residential short-term load forecasting. Different application scenes have different affecting factors of short-term load, so we should specifically analysis of factors that affect the load of the residential electricity. We use SPSS (Statistic Package for Social Science) to figure out the relationship between the daily load and temperature, weather conditions ...

In order to improve the utilization of the residential electricity consumption data which contains the information on the user’s electricity consumption habits, a residential electricity consumption behaviors mining algorithm model is constructed. Firstly, according to the attribute, the collected data can be divided into the global data and the phase data, then the appropriate global variables...

There are many uncertainties and risks in residential electricity consumption associated with economic development. Knowledge of the relationship between residential electricity consumption and its key determinant—income—is important to the sustainable development of the electric power industry. Using panel data from 30 provinces for the 1995–2012 period, this study investigates how residential...

There is an obvious attraction to on-grid residential solar PV installations as the cost of solar PV systems decrease [1, 2, 3, 7], the cost of utility electricity increases [2, 3], Eskom’s reserve margin reduces [2], and environmental and sustainability awareness among electricity users increases [3]. EGs in the form of residential or commercial solar PV can also derive income when their gener...

Present study investigates the effect of soaring residential electricity price on the welfare of rural individuals in Guilan Province by Almost Ideal Demand System (AIDS) in which the elasticity’s and welfare variations were calculated by Compensation Variations (CV) and Equivalent Variations (EV) for the time period of 1991-2012. It was shown that the absolute value of income and price elastic...

Dynamic partial adjustment models of residential electricity demand account for the fact that households may not adjust electricity consumption immediately in response to changes in prices, income, and other relevant factors, because of behavioral habits or adjustment costs for the capital stock of appliances. However, forward-looking behavior is generally neglected. Expectations about future p...