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A Meta-Analysis Review of Occupant Behaviour Models for Assessing Demand-Side Energy Consumption
| Content Provider | MDPI |
|---|---|
| Author | Krishnan, Deepu Kelly, Scott Kim, Yohan |
| Copyright Year | 2022 |
| Description | Occupant behaviour plays a significant role in shaping the dynamics of energy consumption in buildings, but the complex nature of occupant behaviour has hindered a deeper understanding of its influence. A meta-analysis was conducted on 65 published studies that used data-driven quantitative assessments to assess energy-related occupant behaviour using the Knowledge Discovery and Data Mining (KDD) framework. Hierarchical clustering was utilised to categorise different modelling techniques based on the intended outcomes of the model and the types of parameters used in various models. This study will assist researchers in selecting the most appropriate parameters and methods under various data constraints and research questions. The research revealed two distinct model categories being used to study occupant behaviour-driven energy consumption, namely (i) occupancy status models and (ii) energy-related behaviour models. Multiple studies have identified limitations on data collection and privacy concerns as constraints of modelling occupant behaviour in residential buildings. The “regression model” and its variants were found to be the preferred model types for research that models “energy-related behaviour”, and “classification models” were found to be preferable for modelling “occupancy” status. There were only limited instances of data-driven studies that modelled occupant behaviour in low-income households, and there is a need to generate region-specific models to accurately model energy-related behaviour. |
| Starting Page | 1219 |
| e-ISSN | 19961073 |
| DOI | 10.3390/en15031219 |
| Journal | Energies |
| Issue Number | 3 |
| Volume Number | 15 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-02-07 |
| Access Restriction | Open |
| Subject Keyword | Energies Civil Engineering Occupant Behaviour Occupancy Low-income Households Hierarchical Clustering Knowledge Discovery and Data Mining Residential Energy Consumption |
| Content Type | Text |
| Resource Type | Article |
