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

Sammendrag

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.

Kategori

Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Oppdragsgiver

  • Research Council of Norway (RCN) / 257660

Språk

Engelsk

Forfatter(e)

Institusjon(er)

  • SINTEF Community / Bygninger og installasjoner
  • Norges teknisk-naturvitenskapelige universitet

År

2019

Forlag

International Building Performance Simulation Association (IBPSA)

Bok

Proceedings of Building Simulation 2019: 16th Conference of IBPSA, Roma, September 02-04

Hefte nr.

2019

ISBN

978-1-7750520-1-2

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