An overview of machine learning applications for smart buildings
Abstract
An overview of the concepts and definitions related to buildings' "learning". An overview of learning goals, AI training methods, and training environments. An overview of machine learning applications for smart buildings. AI-initiated learning processes and digital twins suggested for enhanced learning. Adaptability solutions recommended for HVAC control and electricity market participation.
- Publication:
-
Sustainable Cities and Society
- Pub Date:
- January 2022
- DOI:
- 10.1016/j.scs.2021.103445
- Bibcode:
- 2022SusCS..7603445A
- Keywords:
-
- Smart building;
- Intelligent building;
- Learning;
- HVAC;
- Reinforcement learning;
- Energy efficiency;
- AI;
- artificial intelligence;
- AGI;
- artificial general intelligence;
- ANN;
- artificial neural network;
- BAS;
- building automation system;
- BD;
- big data;
- BEMS;
- building energy management system;
- BI;
- building intelligence;
- BIM;
- building information modelling;
- BIQ;
- building intelligence quotient;
- DRL;
- deep reinforcement learning;
- DT;
- digital twin;
- EPBD;
- energy performance of buildings directive;
- HVAC;
- Heating;
- ventilation and air-conditioning;
- IB;
- Intelligent buildings;
- ICT;
- Information and communication technologies;
- IoT;
- Internet of things;
- KPI;
- Key performance Indicator;
- LAI;
- Learning ability index;
- LM;
- Linear (regression) model