Performance Assessment of Data-Driven and Physical-Based Models to Predict Building Energy Demand in Model Predictive Controls

Performance Assessment of Data-Driven and Physical-Based Models to Predict Building Energy Demand in Model Predictive Controls

The implementation of model predictive controls (MPCs) in buildings represents an important opportunity to reduce energy consumption and to apply demand side management strategies. In order to be effective, the MPC should be provided with an accurate model that is able to forecast the actual buildin...

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Bibliographic Details
Main Authors: Alice Mugnini, Gianluca Coccia, Fabio Polonara, Alessia Arteconi
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Energies
Subjects:
model predictive control
data-driven model
artificial neural network
physical building model
energy flexibility
Online Access:https://www.mdpi.com/1996-1073/13/12/3125

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