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Influence of inputs knowledge on Grey-box models for Demand Response in Buildings

Influence of inputs knowledge on Grey-box models for Demand Response in Buildings

Category
Part of a book/report
Abstract
A set of grey box models for a passive single family house is evaluated to understand the influence of inputs (solar radiation, internal gains and ventilation) knowledge. The models are evaluated with both a log likelihood ratio test and evaluation of the long-term prediction RMSE. It is shown that solar radiation is a necessary input, while internal gains and ventilation gain show more ambiguous results. It is also shown that a strict log likelihood evaluation based on 1-step predictions is not suited for evaluating models for applications where longer predictions are necessary.
Language
English
Affiliation
  • SINTEF Community / Architectural Engineering
  • Norwegian University of Science and Technology
Year
2019
Published in
Proceedings of the International Building Performance Simulation Association
ISSN
2522-2708
Publisher
International Building Performance Simulation Association (IBPSA)
Book
Proceedings of Building Simulation 2019: 16th Conference of IBPSA, Roma, September 02-04
Booklet
2019
ISBN
978-1-7750520-1-2