Paper Info
Title
Household Electric Load Pattern Consumption Enhanced Simulation By Random Behavior
Abstract
The demand for electricity is increasing exponentially and thus, the concern for energy conservation becomes important. The daily consumption of electricity by each family needs to be calculated which in turn would help to estimate the weekly, monthly and yearly electric consumption for a particular unit. The electricity consumed by each family depends upon various factors. The occupancy model of the family needs additionally to be considered. After studying the this model, one can predict at which hours of the day the load consumed is maximum and at which hours of the day it is minimum. Studying the load profiles of each family, the supplier of the electricity can estimate the consumption charge supply policy accordingly. While studying the load profile, we need to take into consideration various appliances and their demand behavior. In this paper, we summarize influential factors of house electrical consumption, the occupancy of the members of the house, and the electrical demand for lighting. It also explains various types of appliances usually employed in a house and their categorization based on behavior and how they contribute to the total load profile of a household.
Year
DOI
Venue
2019
10.1007/978-3-030-14799-0_25
INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2019, PT I
Keywords
Field
DocType
Electric load pattern, Electric demand, Software engineering, Simulation, Random behaviour
Categorization,Data mining,Energy conservation,Electrical load,Computer science,Electricity,Load profile,Occupancy,Environmental economics
Conference
Volume
ISSN
Citations 
11431
0302-9743
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Alabbas Alhaj Ali100.68
Doina Logofatu21716.74
Prachi Agrawal300.34
Sreshtha Roy400.34