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Keywords = fuel poverty potential risk index

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30 pages, 14865 KB  
Article
Prediction of Fuel Poverty Potential Risk Index Using Six Regression Algorithms: A Case-Study of Chilean Social Dwellings
by David Bienvenido-Huertas, Jesús A. Pulido-Arcas, Carlos Rubio-Bellido and Alexis Pérez-Fargallo
Sustainability 2021, 13(5), 2426; https://doi.org/10.3390/su13052426 - 24 Feb 2021
Cited by 8 | Viewed by 3924
Abstract
In recent times, studies about the accuracy of algorithms to predict different aspects of energy use in the building sector have flourished, being energy poverty one of the issues that has received considerable critical attention. Previous studies in this field have characterized it [...] Read more.
In recent times, studies about the accuracy of algorithms to predict different aspects of energy use in the building sector have flourished, being energy poverty one of the issues that has received considerable critical attention. Previous studies in this field have characterized it using different indicators, but they have failed to develop instruments to predict the risk of low-income households falling into energy poverty. This research explores the way in which six regression algorithms can accurately forecast the risk of energy poverty by means of the fuel poverty potential risk index. Using data from the national survey of socioeconomic conditions of Chilean households and generating data for different typologies of social dwellings (e.g., form ratio or roof surface area), this study simulated 38,880 cases and compared the accuracy of six algorithms. Multilayer perceptron, M5P and support vector regression delivered the best accuracy, with correlation coefficients over 99.5%. In terms of computing time, M5P outperforms the rest. Although these results suggest that energy poverty can be accurately predicted using simulated data, it remains necessary to test the algorithms against real data. These results can be useful in devising policies to tackle energy poverty in advance. Full article
(This article belongs to the Section Energy Sustainability)
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12 pages, 1126 KB  
Article
Relationship between Perceived Indoor Temperature and Self-Reported Risk for Frailty among Community-Dwelling Older People
by Yukie Nakajima, Steven M. Schmidt, Agneta Malmgren Fänge, Mari Ono and Toshiharu Ikaga
Int. J. Environ. Res. Public Health 2019, 16(4), 613; https://doi.org/10.3390/ijerph16040613 - 20 Feb 2019
Cited by 17 | Viewed by 3840
Abstract
This study investigated the relationship between perceived indoor temperature in winter and frailty among community-dwelling older people. This cross-sectional study included 342 people 65 years and older in Japan. Participants answered questions about demographics, frailty, housing, and perceived indoor temperature in winter. Participants [...] Read more.
This study investigated the relationship between perceived indoor temperature in winter and frailty among community-dwelling older people. This cross-sectional study included 342 people 65 years and older in Japan. Participants answered questions about demographics, frailty, housing, and perceived indoor temperature in winter. Participants were grouped based on perceived indoor temperature (Cold or Warm) and economic satisfaction (Unsatisfied or Satisfied). Differences in the frailty index between perceived indoor temperature groups and economic satisfaction groups were tested by using ANCOVA and MANCOVA. An interaction effect showed that people in the Cold Group and unsatisfied with their economic status had significantly higher frailty index scores (F(1, 336) = 5.95, p = 0.015). Furthermore, the frailty index subscale of fall risk was the specific indicator of frailty that accounted for this significant relationship. While previous research has shown the risks related to cold indoor temperature in homes, interestingly among those who reported cold homes, only those who were not satisfied with their economic situation reported being at increased risk for frailty. This highlights the potential importance of preventing fuel poverty to prevent frailty. Full article
(This article belongs to the Section Environmental Health)
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