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Data · dataset · 2022

Data for: Future global electricity demand load curves

Listed in Teesside University Research Data Repository

In this research, hourly electricity demand is modelled within the integrated assessment model (IAM) IMAGE and under the SSP2 baseline scenario for the future.

Description

The hourly demand patterns shown in this dataset correspond to the end-uses that have a climate dependence for electricity demand at the hourly and monthly resolution. Further, the aggregation of the residential, service, transport, industry sectors and total regional demand patterns are given.

Links

Where it is published

Catalogue records · 1

Topics

From keywords
Climate · Earth & Environmental Science
Inferred from text
Image 75%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/pmd2dchk44.116 h agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[modality].local:modality:imageenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
concepts[subject].local:topic:climatemapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Climate Change']
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title