Abstract
Argentina faces distinctive challenges with its politicized electricity pricing and aging infrastructure, prompting government efforts to reduce energy demand and promote efficiency. Focusing on Mendoza, this study investigates the sociodemographic factors (SDF) influencing residential electricity consumption (Ec) in its Capital and Godoy Cruz departments. Using data from the CONICET Center, the research develops a model to estimate Ec, incorporating various SDF and climatic factors through regression analyses. This comprehensive approach aims to guide urban planning and policy development to enhance energy efficiency (EE) and sustainability while providing targeted recommendations for Mendoza's urban energy management. Despite its localized focus, the study contributes valuable insights into the broader dynamics affecting Ec and urban planning. Our study involves the development of a model to estimate the Ec of residential users in Mendoza's urban region. The proposed model's outcomes reveal a high degree of precision in estimating per capita electricity consumption (Ec /Capita), as indicated throughout the process of error analysis. Analysis of Ec /Capita determinants identified three key SDF: dwelling composition (DC), dwelling rent ratio (DRR), and room crowding ratio (RCR). Unexpectedly, RCR showed a positive correlation with Ec /Capita. Generally, increased crowding implies that energy use for heating and cooling is shared among more people, which typically reduces per capita consumption. This result indicates that the impact of crowding on energy use is complex and potentially linked to other variables like rental status, for example. This study enhances understanding of how urban contexts in Mendoza affect Ec patterns and explores whether these factors align with or differ from those in other regions.
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