Energy consumption prediction and household feature analysis for different residential building types using machine learning and SHAP: Toward energy-efficient buildings
Hong Kong Polytechnic University · Incheon National University · +1 more institution
Indexed incrossref
Abstract
No abstract available for this paper.
Citation impact
132
total citations
- FWCI
- 31.87
- Percentile
- 100%
- References
- 57
Citations per year
Authors
4Topics & keywords
Topics
Keywords
- Energy consumption
- Consumption (sociology)
- Interpretability
- Energy (signal processing)
- Efficient energy use
- Environmental economics
- Feature (linguistics)
- Computer science
UN Sustainable Development Goals
- Affordable and clean energy
No related works found for this paper.