Statistic linear parametric techniques for residential electric energy demand forecasting. A review and an implementation to Chile-Reference-Cited by-同舟云学术

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Statistic linear parametric techniques for residential electric energy demand forecasting. A review and an implementation to Chile

Published:2017-07 Issue: Volume:74 Page:512-521
ISSN:1364-0321
Container-title:Renewable and Sustainable Energy Reviews
language:en
Short-container-title:Renewable and Sustainable Energy Reviews

Author:

Verdejo Humberto,Awerkin Almendra,Becker Cristhian,Olguin Gabriel

Funder

Fondecyt Project

Comision Nacional de Investigacion Cientifica y Tecnologica

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference37 articles.

1. Short-term forecasting of electricity demand for the residential sector using weather and social variables;Son;Resour Conserv Recycl,2016

2. Modeling of end-use energy consumption in the residential sector: a review of modeling techniques;Swan;Renew Sustain Energy Rev,2009

3. Evaluation of time series techniques to characterise domestic electricity demand;McLoughlin;Energy,2013

4. A review and an analysis of the residential electric load curve models;Grandjean;Renew Sustain Energy Rev,2012

5. Comparison of neural network, conditional demand analysis, and engineering approaches for modeling end-use energy consumption in the residential sector;Aydinalp-Koksal;Appl Energy,2008

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