Artificial neural networks and linear regression prediction models for social housing allocation: Fuel Poverty Potential Risk Index-Reference-Cited by-同舟云学术

Artificial neural networks and linear regression prediction models for social housing allocation: Fuel Poverty Potential Risk Index

Published:2018-12 Issue: Volume:164 Page:627-641
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Pino-Mejías Rafael,Pérez-Fargallo Alexis^ORCID,Rubio-Bellido Carlos^ORCID,Pulido-Arcas Jesús A.^ORCID

Funder

Sustainable Architecture and Construction Research Group (GACS)

GEDIE

FONDECYT

Chilean National Commission for Research in Science and Technology

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference64 articles.

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5. The United States regulatory compact and energy poverty;Oppenheim;Energy Res Soc Sci,2016

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