Bayesian and network models with covariate effects for predicting heating energy demand
dc.contributor.author
dc.date.accessioned
2023-03-24T10:27:08Z
dc.date.available
2023-03-24T10:27:08Z
dc.date.issued
2022-11
dc.identifier.issn
1877-5845
dc.identifier.uri
dc.description.abstract
The spatial effect is an element presented in many geostatistical works and it should be incorporated into studies regarding the heating energy demand of residential building stocks. The most common approaches have been made by simple descriptive statistics or using analyses by Markov random fields. In this work, we propose two different methods. First, the Stochastic Partial Differential Equation with the Integrated Nested Laplace Approximation to model the variable heating energy demand in Castellón de la Plana, Spain also considering covariates and the spatial effect. Second, simulated street networks for analysing data. We describe and take advantage of the Bayesian methodology in the modelling process in all the scenarios, including covariates and the possibility of creating a simulated street network with the data for the modelling issue. Our results show that the spatial location of the building is a crucial element to study the heating energy demand using both methodologies
dc.description.sponsorship
The authors thank the funding by Grant MTM2016–78917-R from the Spanish Ministry of Science and Education. Carlos Díaz-Avalos was supported by grant PAPIIT-UNAM IG100221.
Open Access funding provided thanks to the CRUE-CSIC agreement with Elsevier
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.relation.isformatof
Reproducció digital del document publicat a: https://doi.org/10.1016/j.sste.2022.100547
dc.relation.ispartof
Spatial and Spatio-temporal Epidemiology, vol. 43, art. núm. 100547
dc.relation.ispartofseries
Articles publicats (D-EC)
dc.rights
Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri
dc.subject
dc.title
Bayesian and network models with covariate effects for predicting heating energy demand
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.identifier.idgrec
036014
dc.type.peerreviewed
peer-reviewed
dc.identifier.eissn
1877-5853