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Methodology to determine the impact of simplified building models on model-predictive-control morning start optimization performance
- Source :
- Science and Technology for the Built Environment. 24:779-792
- Publication Year :
- 2018
- Publisher :
- Informa UK Limited, 2018.
-
Abstract
- The current article introduces a method of quantifying the losses in a model predictive control scheme for morning start optimization by using a simplified statistical building model compared to a ...
- Subjects :
- Fluid Flow and Transfer Processes
Scheme (programming language)
Environmental Engineering
Computer science
020209 energy
Building model
02 engineering and technology
Building and Construction
Model predictive control
Control theory
Physics::Space Physics
0202 electrical engineering, electronic engineering, information engineering
Current (fluid)
computer
computer.programming_language
Morning
Subjects
Details
- ISSN :
- 2374474X and 23744731
- Volume :
- 24
- Database :
- OpenAIRE
- Journal :
- Science and Technology for the Built Environment
- Accession number :
- edsair.doi...........406924d9c3e58e96d41a3f8e538a9420
- Full Text :
- https://doi.org/10.1080/23744731.2017.1415088