Electrical load prediction of healthcare buildings through single and ensemble learning
Healthcare buildings are characterized by complex energy systems and high energy usage, therefore serving as the key areas for achieving energy conservation goals in the building sector. An accurate load prediction of hospital energy consumption is of paramount importance to a successful healthcare...
- Autores:
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2020
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- eng
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/14568
- Acceso en línea:
- https://doi.org/10.1016/j.egyr.2020.10.005
http://hdl.handle.net/20.500.12010/14568
- Palabra clave:
- Healthcare buildings
Load prediction
Ensemble model machine learning
XGBoost
Random forest
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
- Rights
- License
- Abierto (Texto Completo)