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Pernille Seljom

Biographic Data

ID6563819
NAMEPernille Seljom
GIVEN NAMESPernille
FAMILY NAMESeljom
SIGNATURESELJOM P
AFFILIATIONSInstitute for Energy Technology
ORCID0000-0002-3124-1056
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS3
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Modelling household barriers to retrofits and solar energy - Quantifying the hidden cost in the Norwegian energy transition

    Open Access•Pernille Seljom, Eva Rosenberg et al.•ARTICLE•Energy Research & Social Science•2025•References: 7

    Long-term energy system models are widely used to support decision-making for policymakers and industry stakeholders. However, these models often assume households behave as techno-economic rational agents, which can lead to misleading insights for guiding the energy transition. This paper proposes a methodology on how household investment behaviour can be more accurately integrated into long-term energy system models, as well as analysing the va…

  • Long-term electricity load forecasting

    Open Access•Karen Byskov Lindberg, Pernille Seljom et al.•ARTICLE•Utilities Policy•2019•Cited by: 3

  • Long-term electricity load forecasting

    Open Access•Karen Byskov Lindberg, Pernille Seljom et al.•ARTICLE•Utilities Policy•2019•Cited by: 3

  • Long-term electricity load forecasting

    Open Access•Karen Byskov Lindberg, Pernille Seljom et al.•ARTICLE•Utilities Policy•2019•Cited by: 3

  • Modelling household barriers to retrofits and solar energy - Quantifying the hidden cost in the Norwegian energy transition

    Open Access•Pernille Seljom, Eva Rosenberg et al.•ARTICLE•Energy Research & Social Science•2025•References: 7

    Long-term energy system models are widely used to support decision-making for policymakers and industry stakeholders. However, these models often assume households behave as techno-economic rational agents, which can lead to misleading insights for guiding the energy transition. This paper proposes a methodology on how household investment behaviour can be more accurately integrated into long-term energy system models, as well as analysing the va…

Electrical engineering (2 works) · Engineering (2 works) · Smart Grid Energy Management (2 works) · Demand forecasting (1 work) · Economics (1 work) · Electric power system (1 work) · Electricity (1 work) · Electricity demand (1 work) · Electricity generation (1 work) · Electricity system (1 work)

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