PowerSystems.jl — A power system data management package for large scale modeling

PowerSystems.jl is a package to organize and manipulate data for the study of energy systems with diverse modeling requirements. This software serves two main purposes: to reduce the burden of large power system data set development, and to promote reproducible research and simulation. PowerSystems....

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Bibliographic Details
Main Authors: José Daniel Lara, Clayton Barrows, Daniel Thom, Dheepak Krishnamurthy, Duncan Callaway
Format: Article
Language:English
Published: Elsevier 2021-07-01
Series:SoftwareX
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352711021000765
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spelling doaj-88aa1e38f66e4f6f9ee8344c05c2bd032021-07-03T04:47:23ZengElsevierSoftwareX2352-71102021-07-0115100747PowerSystems.jl — A power system data management package for large scale modelingJosé Daniel Lara0Clayton Barrows1Daniel Thom2Dheepak Krishnamurthy3Duncan Callaway4Energy and Resources Group, University of California, Berkeley, CA 94720, United States of America; National Renewable Energy Laboratory, Golden, CO 80401, United States of AmericaNational Renewable Energy Laboratory, Golden, CO 80401, United States of America; Corresponding author.National Renewable Energy Laboratory, Golden, CO 80401, United States of AmericaNational Renewable Energy Laboratory, Golden, CO 80401, United States of AmericaEnergy and Resources Group, University of California, Berkeley, CA 94720, United States of AmericaPowerSystems.jl is a package to organize and manipulate data for the study of energy systems with diverse modeling requirements. This software serves two main purposes: to reduce the burden of large power system data set development, and to promote reproducible research and simulation. PowerSystems.jl implements an abstract hierarchy to represent and customize power systems data and includes data containers for quasi-static and dynamic simulation applications. Key features include efficient management of large quantities of time series data, optimized serialization, and comprehensive validation capabilities. The paper includes detailed discussion and examples for reference.http://www.sciencedirect.com/science/article/pii/S2352711021000765Power SystemsJuliaEnergy
collection DOAJ
language English
format Article
sources DOAJ
author José Daniel Lara
Clayton Barrows
Daniel Thom
Dheepak Krishnamurthy
Duncan Callaway
spellingShingle José Daniel Lara
Clayton Barrows
Daniel Thom
Dheepak Krishnamurthy
Duncan Callaway
PowerSystems.jl — A power system data management package for large scale modeling
SoftwareX
Power Systems
Julia
Energy
author_facet José Daniel Lara
Clayton Barrows
Daniel Thom
Dheepak Krishnamurthy
Duncan Callaway
author_sort José Daniel Lara
title PowerSystems.jl — A power system data management package for large scale modeling
title_short PowerSystems.jl — A power system data management package for large scale modeling
title_full PowerSystems.jl — A power system data management package for large scale modeling
title_fullStr PowerSystems.jl — A power system data management package for large scale modeling
title_full_unstemmed PowerSystems.jl — A power system data management package for large scale modeling
title_sort powersystems.jl — a power system data management package for large scale modeling
publisher Elsevier
series SoftwareX
issn 2352-7110
publishDate 2021-07-01
description PowerSystems.jl is a package to organize and manipulate data for the study of energy systems with diverse modeling requirements. This software serves two main purposes: to reduce the burden of large power system data set development, and to promote reproducible research and simulation. PowerSystems.jl implements an abstract hierarchy to represent and customize power systems data and includes data containers for quasi-static and dynamic simulation applications. Key features include efficient management of large quantities of time series data, optimized serialization, and comprehensive validation capabilities. The paper includes detailed discussion and examples for reference.
topic Power Systems
Julia
Energy
url http://www.sciencedirect.com/science/article/pii/S2352711021000765
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