This paper introduces grid-connected PV system to provide electricity for loads fractions of the governmental building in "Qena Al-Gadida" through two plans with different prices of electricity according to consumption rates. The first plan assuming the price of electricity purchased from the grid is equal to the price paid by the utility for electricity sold to the grid (sellback price). The s...

The problem of early and accurate forecasting electricity consumption is acute for the unified energy system Ukraine. With successful consumption, which based on many aspects, it possible to buy electricity/losses in different market segments much more profitably, saving large amounts money, can then be directed development modernization networks. This has always been an urgent issue, but today...

Microgrid works as a local energy provider for domestic buildings to reduce energy expenses and gas emissions by utilising distributed energy resources (DERs). The rapid advances in computing and communication capabilities enable the concept smart buildings become possible. Most energy-consuming household tasks do not need to be performed at specific times but rather within a preferred time. If...

Electricity consumption is often the hotspot of life cycle assessment (LCA) of products, industrial activities, or services. The objective of this paper is to provide a consistent, scientific, region-specific electricity-supply-based inventory of electricity generation technology for national and regional power grids. Marginal electricity generation technology is pivotal in assessing impacts re...

In this study several Artificial Neural Network (ANN) models were experimented to predict electricity consumption for a residential house in New Zealand. The effect of number of users in the house, day of the week and weather variables on electricity consumption was analyzed. Each model has been constructed using different structures, learning algorithms and transfer functions in order to come ...

This paper investigates the relationship between electricity consumption, economic classification and household income, by means of comparing Brazilian Census Micro-Data with the customer database of AES Eletropaulo, a large Brazilian electric distribution company, using traditional statistics and spatial auto-regressive models. Income and economic classification are recognized as efficient pro...

Yearly electricity consumption trends of most developing countries usually exhibit approximately exponential growth curves. An optimized nonhomogeneous exponential model (ONEM) is proposed as a method of forecasting electricity consumption by using trend extrapolation. The parameters of the nonhomogeneous exponential equation are obtained by using the inverse accumulated generating operation, d...