Paper Info
Title
Smart buildings as Cyber-Physical Systems: Data-driven predictive control strategies for energy efficiency.
Abstract
Due to its significant contribution to global energy usage and the associated greenhouse gas emissions, existing building stock's energy efficiency must improve. Predictive building control promises to contribute to that by increasing the efficiency of building operations. Predictive control complements other means to increase performance such as refurbishments as well as modernizations of systems. This survey reviews recent works and contextualizes these with the current state of the art of interrelated topics in data handling, building automation, distributed control, and semantics. The comprehensive overview leads to seven research questions guiding future research directions.
Year
DOI
Venue
2018
10.1016/j.rser.2018.04.013
Renewable and Sustainable Energy Reviews
Keywords
Field
DocType
Energy efficiency,Predictive control,Cyber-Physical System,Existing buildings
Data-driven,Environmental resource management,Efficient energy use,Model predictive control,Risk analysis (engineering),Cyber-physical system,Building automation,Engineering,Group method of data handling,Semantics,Greenhouse gas
Journal
Volume
ISSN
Citations 
90
1364-0321
2
PageRank 
References 
Authors
0.39
23
2
Name
Order
Citations
PageRank
M. Schmidt130.87
Christer Åhlund221527.85