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pvanalytics

Quality control, filtering, feature labeling, and other tools for working with data from photovoltaic energy systems.

https://github.com/pvlib/pvanalytics

Science Score: 59.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 3 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ✓
    Committers with academic emails
    1 of 12 committers (8.3%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (14.0%) to scientific vocabulary

Keywords

photovoltaic python renewable-energy renewables solar-energy

Keywords from Contributors

photovoltaics scr-2609 snl-data-analysis snl-visualization bifacial radiance
Last synced: 6 months ago · JSON representation

Repository

Quality control, filtering, feature labeling, and other tools for working with data from photovoltaic energy systems.

Basic Info
Statistics
  • Stars: 114
  • Watchers: 10
  • Forks: 37
  • Open Issues: 36
  • Releases: 7
Topics
photovoltaic python renewable-energy renewables solar-energy
Created about 6 years ago · Last pushed 7 months ago
Metadata Files
Readme License Code of conduct

README.md

lint and test Coverage Status DOI

PVAnalytics

PVAnalytics is a python library that supports analytics for PV systems. It provides functions for quality control, filtering, and feature labeling and other tools supporting the analysis of PV system-level data.

PVAnalytics is available at PyPI and can be installed using pip:

pip install pvanalytics

Documentation and example usage is available at pvanalytics.readthedocs.io.

Library Overview

The functions provided by PVAnalytics are organized in modules based on their anticipated use. The structure/organization below is likely to change as use cases are identified and refined and as package content evolves. The functions in quality and features take a series of data and return a series of booleans. For more detailed descriptions, see our API Reference.

  • quality contains submodules for different kinds of data quality checks.

    • data_shifts contains quality checks for detecting and isolating data shifts in PV time series data.
    • irradiance provides quality checks for irradiance measurements.
    • weather has quality checks for weather data (for example tests for physically plausible values of temperature, wind speed, humidity, etc.)
    • outliers contains different functions for identifying outliers in the data.
    • gaps contains functions for identifying gaps in the data (i.e. missing values, stuck values, and interpolation).
    • time quality checks related to time (e.g. timestamp spacing)
    • util general purpose quality functions.

  • features contains submodules with different methods for identifying and labeling salient features.

    • clipping functions for labeling inverter clipping.
    • clearsky functions for identifying periods of clear sky conditions.
    • daytime functions for for identifying periods of day and night.
    • orientation functions for labeling data as corresponding to a rotating solar tracker or a fixed tilt structure.
    • shading functions for identifying shadows.

  • system identification of PV system characteristics from data (e.g. nameplate power, orientation, azimuth)

  • metrics contains functions for computing PV system-level metrics

Owner

  • Name: pvlib
  • Login: pvlib
  • Kind: organization

GitHub Events

Total
  • Create event: 2
  • Release event: 2
  • Issues event: 6
  • Watch event: 18
  • Issue comment event: 31
  • Push event: 8
  • Pull request review event: 25
  • Pull request review comment event: 34
  • Pull request event: 19
  • Fork event: 6
Last Year
  • Create event: 2
  • Release event: 2
  • Issues event: 6
  • Watch event: 18
  • Issue comment event: 31
  • Push event: 8
  • Pull request review event: 25
  • Pull request review comment event: 34
  • Pull request event: 19
  • Fork event: 6

Committers

Last synced: 6 months ago

All Time
  • Total Commits: 315
  • Total Committers: 12
  • Avg Commits per committer: 26.25
  • Development Distribution Score (DDS): 0.616
Past Year
  • Commits: 10
  • Committers: 3
  • Avg Commits per committer: 3.333
  • Development Distribution Score (DDS): 0.3
Top Committers
Name Email Commits
Will Vining w****g@g****m 121
Perry k****y@n****v 102
Kevin Anderson k****n@n****v 36
Kirsten Perry 7****l 34
Kevin Anderson 5****l 7
Cliff Hansen c****e@s****v 7
Adam R. Jensen 3****n 3
Saurabh Aneja 6****A 1
Quyen Nguyen 1****5 1
Michael Hopwood m****d@k****u 1
Chris Deline c****e@n****v 1
Perry k****y 1
Committer Domains (Top 20 + Academic)
nrel.gov: 3 knights.ucf.edu: 1 sandia.gov: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 86
  • Total pull requests: 139
  • Average time to close issues: 3 months
  • Average time to close pull requests: about 1 month
  • Total issue authors: 17
  • Total pull request authors: 10
  • Average comments per issue: 3.19
  • Average comments per pull request: 2.37
  • Merged pull requests: 126
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 4
  • Pull requests: 10
  • Average time to close issues: N/A
  • Average time to close pull requests: 14 days
  • Issue authors: 3
  • Pull request authors: 3
  • Average comments per issue: 1.25
  • Average comments per pull request: 2.9
  • Merged pull requests: 7
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • wfvining (28)
  • cwhanse (14)
  • kandersolar (13)
  • kperrynrel (11)
  • AdamRJensen (7)
  • wholmgren (3)
  • bt- (2)
  • RDaxini (1)
  • toddkarin (1)
  • camsilva (1)
  • rjstephens (1)
  • jranalli (1)
  • eccoope (1)
  • matsuobasho (1)
  • williamhobbs (1)
Pull Request Authors
  • wfvining (63)
  • kandersolar (47)
  • kperrynrel (25)
  • AdamRJensen (7)
  • qnguyen345 (6)
  • cwhanse (6)
  • abhisheksparikh (1)
  • MichaelHopwood (1)
  • cdeline (1)
  • spaneja (1)
Top Labels
Issue Labels
enhancement (14) documentation (7) bug (5) dependency (3) tests (3) question (3) ci (2)
Pull Request Labels
documentation (23) enhancement (18) dependency (16) tests (12) ci (11) release (10) bug (8) feature (2)

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 1,590 last-month
  • Total dependent packages: 1
    (may contain duplicates)
  • Total dependent repositories: 3
    (may contain duplicates)
  • Total versions: 16
  • Total maintainers: 1
proxy.golang.org: github.com/pvlib/pvanalytics
  • Versions: 8
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.4%
Average: 5.6%
Dependent repos count: 5.8%
Last synced: 6 months ago
pypi.org: pvanalytics

PVAnalytics is a python library for the analysis of photovoltaic system-level data.

  • Versions: 8
  • Dependent Packages: 1
  • Dependent Repositories: 3
  • Downloads: 1,590 Last month
Rankings
Dependent packages count: 3.2%
Average: 7.1%
Downloads: 7.4%
Forks count: 7.8%
Stargazers count: 8.0%
Dependent repos count: 9.1%
Maintainers (1)
wfvining-snl
Last synced: 6 months ago

Dependencies

.github/workflows/lint-and-test.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v1 composite
.github/workflows/pythonpublish.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v1 composite
requirements-min.txt pypi
  • numpy *
  • pandas *
  • pvlib *
  • scikit-image *
  • scipy *
  • statsmodels *