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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Applied Energyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Applied Energy
Article . 2000 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Decomposing multi-regional dynamic energy process models

Authors: J. David Fuller; Y.June Wu; William Chung;

Decomposing multi-regional dynamic energy process models

Abstract

Abstract The energy process model with geometric distributed lag (GDL) demand, called the energy GDL process model, often distinguishes several regions. This paper presents a new decomposition approach, based on the Dantzig–Wolfe principle, to decompose such a model by region in order to provide a more manageable tool for long-run energy planning and energy-related environmental protection decision making. The new decomposition approach is required because most energy GDL process models cannot be converted into optimization problems, so that the existing linear or nonlinear decomposition principles cannot be applied to such models directly. A two-region energy GDL process model of supplies and demands of oil, gas, electricity, and coal in Canada is presented and solved with the new decomposition approach, to aid in understanding the performance of the new decomposition procedure.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
bronze