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Estimation of Household Energy Consumption: A Survey

R. Nigam1 , R. Jain2 , A. Sehgal3 , R. Maheshwari4 , P. S. Mehra5

Section:Survey Paper, Product Type: Journal-Paper
Vol.6 , Issue.2 , pp.53-63, Dec-2019


Online published on Dec 31, 2019


Copyright © R. Nigam, R. Jain, A. Sehgal, R. Maheshwari, P. S. Mehra . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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IEEE Style Citation: R. Nigam, R. Jain, A. Sehgal, R. Maheshwari, P. S. Mehra, “Estimation of Household Energy Consumption: A Survey,” World Academics Journal of Engineering Sciences, Vol.6, Issue.2, pp.53-63, 2019.

MLA Style Citation: R. Nigam, R. Jain, A. Sehgal, R. Maheshwari, P. S. Mehra "Estimation of Household Energy Consumption: A Survey." World Academics Journal of Engineering Sciences 6.2 (2019): 53-63.

APA Style Citation: R. Nigam, R. Jain, A. Sehgal, R. Maheshwari, P. S. Mehra, (2019). Estimation of Household Energy Consumption: A Survey. World Academics Journal of Engineering Sciences, 6(2), 53-63.

BibTex Style Citation:
@article{Nigam_2019,
author = {R. Nigam, R. Jain, A. Sehgal, R. Maheshwari, P. S. Mehra},
title = {Estimation of Household Energy Consumption: A Survey},
journal = {World Academics Journal of Engineering Sciences},
issue_date = {12 2019},
volume = {6},
Issue = {2},
month = {12},
year = {2019},
issn = {2347-2693},
pages = {53-63},
url = {https://www.isroset.org/journal/WAJES/full_paper_view.php?paper_id=1610},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/WAJES/full_paper_view.php?paper_id=1610
TI - Estimation of Household Energy Consumption: A Survey
T2 - World Academics Journal of Engineering Sciences
AU - R. Nigam, R. Jain, A. Sehgal, R. Maheshwari, P. S. Mehra
PY - 2019
DA - 2019/12/31
PB - IJCSE, Indore, INDIA
SP - 53-63
IS - 2
VL - 6
SN - 2347-2693
ER -

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Abstract :
Now-a-days energy consumption has become one of the most studied topics, not just from a climate prospective, but also from technological view of point. The power consumed by millions of household, around the globe, comes majorly from non-renewable sources of energy, which are rapidly depleting. There is an urgent need generating to find ways to effectively consume energy for a sustainable environment. Many researchers have proposed model for Energy Consumption, especially Household sector, to gather different optimized patterns, thus to find solutions to various energy consumption problems. This paper considered various previous works done in the related field, from the year 2010 to 2019, to give a comprehensive study about models applied and dataset used, besides their optimization techniques and results.

Key-Words / Index Term :
Energy Consumption; Household Energy Consumption; Optimization; Machine Learning Techniques; Survey

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