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An overview of machine learning applications for smart buildings
Kari Alanne
*
,
Seppo Sierla
*
Corresponding author for this work
Department of Mechanical Engineering
Department of Electrical Engineering and Automation
Information Technologies in Industrial Automation
Research output
:
Contribution to journal
›
Review Article
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peer-review
137
Citations (Scopus)
855
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Dive into the research topics of 'An overview of machine learning applications for smart buildings'. Together they form a unique fingerprint.
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Engineering
Applications
100%
Buildings
100%
Intelligent Buildings
100%
Environment
66%
Artificial Intelligence
50%
Research
16%
Energy Efficiency
16%
Climatic Change
16%
Efficiency
16%
Integration
16%
Electricity Market
16%
Energy Management
16%
Integrated Energy System
16%
Computer Science
Application
100%
Machine Learning
100%
Artificial Intelligence
50%
Learning Process
33%
Operational Environment
33%
Training Environment
33%
Roles
16%
Control
16%
Energy Efficiency
16%
Boosting
16%
Learning Ability
16%
Level Perspective
16%
Digital Twin
16%
Physics
Machine Learning
100%
Environment
66%
Learning
50%
Artificial Intelligence
50%
Technology
16%
Cycles
16%
Electricity
16%
Flexibility
16%
Vision
16%
Material Science
Solution
16%
Agent
16%