Investigating the Predictors of Air Conditioning Use in Residential Buildings by Comparing Single- and Multi-Domain GLMM Approaches

This publication has 11 references indexed in Scilit:

• A Clustering Method for Identifying Energy-Related Behaviour: The Case-Study of LIFE SUPERHERO Project
  2024
• Modelling occupant behaviour in residential buildings: A systematic literature review
  Building and Environment, 2024
• Predictive modelling of multi-domain factors on window, door, and fan status in naturally ventilated school classrooms
  Building and Environment, 2024
• Quality criteria for multi-domain studies in the indoor environment: Critical review towards research guidelines and recommendations
  Building and Environment, 2022
• A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment
  Renewable and Sustainable Energy Reviews, 2022
• Towards developing a systematic knowledge trend for building energy consumption prediction
  Journal of Building Engineering, 2021
• Review of multi‐domain approaches to indoor environmental perception and behaviour
  Building and Environment, 2020
• A case-centered behavior analysis and operation prediction of AC use in residential buildings
  Energy and Buildings, 2019
• Modelling diversity in building occupant behaviour: a novel statistical approach
  Journal of Building Performance Simulation, 2016
• An effect size primer: A guide for clinicians and researchers.
  Professional Psychology: Research and Practice, 2009