This article analyzes human-oriented dimensions to enhance energy policies in the building sector of developing countries, focusing on Gulf Cooperation Council (GCC) countries. It examines correlations between demographic, socioeconomic, and behavioral dimensions with human-building interactions in Qatar (2200 respondents) to understand energy use discrepancies. The study investigates indoor comfort perception, behavioral associations with financial drivers (energy subsidies, demand response programs), and uses machine learning to analyze consumption patterns. Findings provide insights into human influence on consumption, awareness, responsibility, and comfort, assisting decision-makers in creating targeted strategies for improved energy policy efficacy and sustainability.
Publisher
Humanities & Social Sciences Communications
Published On
Oct 26, 2021
Authors
Ali Ghofrani, Esmat Zaidan, Mohsen Jafari
Tags
energy policies
GCC countries
building sector
human behavior
energy consumption
machine learning
indoor comfort
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