A hierarchical multi-resolution agent-based modeling and simulation framework for household electricity demand profile

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/20988

Full metadata record

DC Field	Value	Language
dc.contributor.author	Mahmood Qureshi Hashmi, I	-
dc.date.accessioned	2020-06-15T12:43:02Z	-
dc.date.available	2020-06-10	-
dc.date.available	2020-06-15T12:43:02Z	-
dc.date.issued	2020-06-10	-
dc.identifier.citation	Simulation: Transactions of the Society for Modeling and Simulation International, 2020	en_US
dc.identifier.issn	0037-5497	-
dc.identifier.issn	http://dx.doi.org/10.1177/0037549720923401	-
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/20988	-
dc.description.sponsorship	This work is partially supported by the applied research grant project ARG-004, funded by the U.S.Pakistan Center for Advanced Studies in Energy, National University of Sciences and Technology, Pakistan.	en_US
dc.language	English	-
dc.language.iso	en	en_US
dc.publisher	SAGE Publications	en_US
dc.subject	Agent based Modeling and Simulation	en_US
dc.subject	Multi-resolution modeling	en_US
dc.subject	Electricity Demand Profiles	en_US
dc.subject	Electricity consumption behaviour	en_US
dc.subject	Urban Electricity Use	en_US
dc.subject	Occupancy Patterns	en_US
dc.title	A hierarchical multi-resolution agent-based modeling and simulation framework for household electricity demand profile	en_US
dc.type	Article	en_US
dc.identifier.doi	http://dx.doi.org/10.1177/0037549720923401	-
dc.relation.isPartOf	Simulation: Transactions of the Society for Modeling and Simulation International	-
pubs.publication-status	Published online	-
dc.identifier.eissn	1741-3133	-
Appears in Collections:	Dept of Computer Science Research Papers

Files in This Item:

File	Description	Size	Format
FullText.pdf		1.45 MB	Adobe PDF	View/Open