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

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.

Category

Academic lecture

Client

  • Research Council of Norway (RCN) / 257660

Language

English

Author(s)

Affiliation

  • SINTEF Community / Architectural Engineering
  • Norwegian University of Science and Technology

Presented at

Building Simulation 2019

Place

Roma

Date

02.09.2019 - 04.09.2019

Organizer

IBPSA

Year

2019

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