Probabilistic Resource Adequacy Suite

The Probabilistic Resource Adequacy Suite (PRAS) is a collection of tools for bulk power system resource adequacy analysis and capacity credit calculation.
https://github.com/natlabrockies/pras

Category: Energy Systems
Sub Category: Load and Demand Forecasting

Keywords from Contributors

powersystems energy-system nrel electrical numerical simulations

Last synced: 19 minutes ago
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Repository metadata

NLR's Probabilistic Resource Adequacy Suite (PRAS)

Host: GitHub
URL: https://github.com/natlabrockies/pras
Owner: NatLabRockies
Created: 2019-05-29T16:39:15.000Z (almost 7 years ago)
Default Branch: main
Last Pushed: 2026-04-03T16:23:51.000Z (27 days ago)
Last Synced: 2026-04-23T04:02:32.694Z (7 days ago)
Language: Julia
Homepage: https://www.nlr.gov/analysis/pras.html
Size: 14.2 MB
Stars: 72
Watchers: 7
Forks: 29
Open Issues: 25
Releases: 0
Metadata Files:
- Readme: README.md

Probabilistic Resource Adequacy Suite

The Probabilistic Resource Adequacy Suite (PRAS) is a collection of tools for
bulk power system resource adequacy analysis and capacity credit calculation. Latest
documentation is available here.
The citable documentation report for v0.6 is available
here.

Installation

PRAS is written in the Julia numerical programming
language. If you haven't already, your first step should be to install Julia.
Instructions are available at
julialang.org/downloads.

Once you have Julia installed, PRAS can be installed from the Julia General registry which is installed by default if you have no other registries installed.

From the main Julia prompt, type ] to enter the package management REPL.
The prompt should change from julia> to something like (v1.10) pkg>
(your version number may be slightly different).
Type (or paste) the following (minus the pkg> prompt)

pkg> add PRAS

This will automatically install the PRAS Julia module and all of its
related dependencies. At this point you can hit Backspace to switch back to the
main julia> prompt.

Basic usage

With PRAS installed, you can load it into Julia as follows:

using PRAS

This will make the core PRAS functions (most importantly, the SystemModel
and assess functions) available for use in your Julia script or
interactive REPL session.

The following snippet shows expected unserved energy (EUE) assessment for the RTS-GMLC system, which is packaged with PRAS.

rts_gmlc_sys = rts_gmlc();
shortfall, = assess(rts_gmlc_sys,
                    SequentialMonteCarlo(samples=10,seed=1),
                    Shortfall()
                    );
println("Total system $(EUE(shortfall))")
# Total system EUE = 0.00000 MWh/8784h

The Getting Started page provides more information
on using PRAS.

Owner metadata

Name: National Laboratory of the Rockies
Login: NatLabRockies
Email:
Kind: organization
Description:
Website: http://www.nrel.gov
Location: Golden, CO
Twitter:
Company:
Icon url: https://avatars.githubusercontent.com/u/1906800?v=4
Repositories: 599
Last ynced at: 2026-01-22T09:57:55.744Z
Profile URL: https://github.com/NatLabRockies

GitHub Events

Total

Delete event: 2
Pull request event: 3
Issues event: 1
Watch event: 2
Push event: 14
Pull request review event: 2
Pull request review comment event: 8
Create event: 1

Last Year

Delete event: 2
Pull request event: 3
Issues event: 1
Watch event: 2
Push event: 14
Pull request review event: 2
Pull request review comment event: 8
Create event: 1

Committers metadata

Last synced: 3 days ago

Total Commits: 339
Total Committers: 15
Avg Commits per committer: 22.6
Development Distribution Score (DDS): 0.186

Commits in past year: 13
Committers in past year: 3
Avg Commits per committer in past year: 4.333
Development Distribution Score (DDS) in past year: 0.308

Name	Email	Commits
Gord Stephen	g**n@n**v	276
Gord Stephen	g**d@g**a	17
Srihari Sundar	s**5@g**m	16
Sinnott Murphy	s****t	6
sdhulipa	s**a@n**v	5
Marty Schwarz	M**z@n**v	4
Nathan Agarwal	N**l@n**v	3
sarahawara	4****a	2
juflorez	j**z@n**v	2
scdhulipala	s**a@n**v	2
Nathan Agarwal	n**l@n**v	2
Ian Fiske	1****e	1
Barrows	c**s@n**v	1
Pradyumna Rao	p**o@n**v	1
Joseph McKinsey	j**y@n**v	1

Committer domains:

Issue and Pull Request metadata

Last synced: 5 days ago

Total issues: 0
Total pull requests: 4
Average time to close issues: N/A
Average time to close pull requests: N/A
Total issue authors: 0
Total pull request authors: 3
Average comments per issue: 0
Average comments per pull request: 1.25
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0

Past year issues: 0
Past year pull requests: 4
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 3
Past year average comments per issue: 0
Past year average comments per pull request: 1.25
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/natlabrockies/pras

Top Issue Authors

Top Pull Request Authors

akrivi (2)
abdelrahman-ayad (1)
sriharisundar (1)

Top Issue Labels

Top Pull Request Labels

enhancement (1)

Dependencies

.github/workflows/PRASCapacityCredits.jl.yml actions

actions/cache v4 composite
actions/checkout v4 composite
codecov/codecov-action v4 composite
julia-actions/julia-buildpkg latest composite
julia-actions/julia-processcoverage v1 composite
julia-actions/julia-runtest latest composite
julia-actions/setup-julia v2 composite

.github/workflows/docsCleanup.yml actions

actions/checkout v4 composite

PRASCore.jl/Project.toml julia

Dates *
MinCostFlows *
OnlineStats *
OnlineStatsBase *
Printf *
Random *
Random123 *
Reexport *
StatsBase *
TimeZones *

docs/Project.toml julia

DataFrames *
Documenter *
Literate *
LiveServer *
Measures *
PRASCapacityCredits *
PRASCore *
PRASFiles *
Plots *

.github/workflows/PRAS.jl.yml actions

actions/cache v4 composite
actions/checkout v4 composite
codecov/codecov-action v4 composite
julia-actions/julia-buildpkg latest composite
julia-actions/julia-processcoverage v1 composite
julia-actions/julia-runtest latest composite
julia-actions/setup-julia v2 composite

.github/workflows/PRASCore.jl.yml actions

actions/cache v4 composite
actions/checkout v4 composite
codecov/codecov-action v4 composite
julia-actions/julia-buildpkg latest composite
julia-actions/julia-processcoverage v1 composite
julia-actions/julia-runtest latest composite
julia-actions/setup-julia v2 composite

.github/workflows/PRASFiles.jl.yml actions

actions/cache v4 composite
actions/checkout v4 composite
codecov/codecov-action v4 composite
julia-actions/julia-buildpkg latest composite
julia-actions/julia-processcoverage v1 composite
julia-actions/julia-runtest latest composite
julia-actions/setup-julia v2 composite

.github/workflows/docs.yml actions

actions/checkout v3 composite
julia-actions/setup-julia latest composite

.devcontainer/Dockerfile docker

mcr.microsoft.com/devcontainers/base ubuntu build

PRAS.jl/Project.toml julia

PRASCapacityCredits *
PRASCore *
PRASFiles *
Reexport *

PRASCapacityCredits.jl/Project.toml julia

Distributions *
PRASCore *

PRASFiles.jl/Project.toml julia

Dates *
HDF5 *
JSON3 *
PRASCore *
StatsBase *
StructTypes *
TimeZones *

Score: 7.282761179605593

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Probabilistic Resource Adequacy Suite

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README.md

Probabilistic Resource Adequacy Suite

Installation

Basic usage

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