A digital twin framework for improving energy efficiency and occupant comfort in public and commercial buildings

A digital twin framework for improving energy efficiency and occupant comfort in public and commercial buildings

Abstract Model Predictive Control (MPC) can be used in the context of building automation to improve energy efficiency and occupant comfort. Ideally, the MPC algorithm should consider current- and planned usage of the controlled environment along with initial state and weather forecast to plan for o...

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Bibliographic Details
Main Authors: Anders Clausen, Krzysztof Arendt, Aslak Johansen, Fisayo Caleb Sangogboye, Mikkel Baun Kjærgaard, Christian T. Veje, Bo Nørregaard Jørgensen
Format: Article
Language:English
Published: SpringerOpen 2021-09-01
Series:Energy Informatics
Subjects:
Model predictive control
Genetic algorithm
Software framework
Online Access:https://doi.org/10.1186/s42162-021-00153-9

Internet

https://doi.org/10.1186/s42162-021-00153-9

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