Learning from experts: Energy efficiency in residential buildings

• DOI: 10.1016/j.eneco.2024.107650
• Publication Date: 2024-05-22T15:18:56Z
• Authors: Monica Billio; Roberto Casarin; Michele Costola; Veronica Veggente
• Keywords: 690; C50; Energy efficiency; 330; ddc:330; Tree-based models; big data; Energy efficiency, Energy performance certificate, Machine learning, Tree-based models, Big data; Machine learning; Energy Performance Certificate; C53; C10

Reducing energy consumption is a key policy focus for mitigating climate change. This study investigates the determinants of residential building efficiency, leveraging expert insights from Energy Performance Certificates (EPCs) to develop machine learning prediction framework. Datasets countries at distinct latitudes, UK and Italy, are analyzed identify potential regional variations in factors influencing efficiency. Findings reveal crucial role related heating systems insulation materials determination building's Also, there evidence superior ability non-linear models capture complex relationships between characteristics A scenario analysis further demonstrates cost-effectiveness policies informed by recommendations.