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+++ b/joss.07928/10.21105.joss.07928.crossref.xml
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+
+
+
+ 20260305155400-928ef11dce536094bcf4af632055eec97744386b
+ 20260305155400
+
+ JOSS Admin
+ admin@theoj.org
+
+ The Open Journal
+
+
+
+
+ Journal of Open Source Software
+ JOSS
+ 2475-9066
+
+ 10.21105/joss
+ https://joss.theoj.org
+
+
+
+
+ 03
+ 2026
+
+
+ 11
+
+ 119
+
+
+
+ SunPeek: Open-Source Tool for Performance Analytics of Solar Thermal Plants
+
+
+
+ Philip
+ Ohnewein
+
+ AEE – Institute for Sustainable Technologies, Austria
+
+ https://orcid.org/0000-0002-1682-3883
+
+
+ Marnoch
+ Hamilton-Jones
+
+ AEE – Institute for Sustainable Technologies, Austria
+
+ https://orcid.org/0000-0002-2725-6773
+
+
+ Lukas
+ Emberger
+
+ SOLID Solar Energy Systems GmbH, Austria
+
+ https://orcid.org/0000-0003-2871-1114
+
+
+ Daniel
+ Tschopp
+
+ AEE – Institute for Sustainable Technologies, Austria
+ University of Innsbruck, Unit for Energy Efficient Buildings, Austria
+
+ https://orcid.org/0000-0002-6285-981X
+
+
+ Peter
+ Zauner
+
+ AEE – Institute for Sustainable Technologies, Austria
+
+ https://orcid.org/0000-0001-9553-6905
+
+
+ Jonathan Cazco
+ Gonzalez
+
+ AEE – Institute for Sustainable Technologies, Austria
+
+ https://orcid.org/0000-0001-8033-9351
+
+
+ Maria
+ Moser
+
+ SOLID Solar Energy Systems GmbH, Austria
+
+ https://orcid.org/0000-0002-0139-9266
+
+
+ Hannes
+ Poier
+
+ SOLID Solar Energy Systems GmbH, Austria
+
+ https://orcid.org/0000-0003-0959-9964
+
+
+ Christopher
+ Albert
+
+ Graz University of Technology, Institute for Theoretical Physics – Computational Physics, Austria
+
+ https://orcid.org/0000-0003-4773-416X
+
+
+ Léo
+ Bonal
+
+ V-Research GmbH, Austria
+
+ https://orcid.org/0009-0004-8096-5423
+
+
+
+ 03
+ 05
+ 2026
+
+
+ 7928
+
+
+ 10.21105/joss.07928
+
+
+ http://creativecommons.org/licenses/by/4.0/
+ http://creativecommons.org/licenses/by/4.0/
+ http://creativecommons.org/licenses/by/4.0/
+
+
+
+ Software archive
+ 10.5281/zenodo.18861353
+
+
+ GitHub review issue
+ https://github.com/openjournals/joss-reviews/issues/7928
+
+
+
+ 10.21105/joss.07928
+ https://joss.theoj.org/papers/10.21105/joss.07928
+
+
+ https://joss.theoj.org/papers/10.21105/joss.07928.pdf
+
+
+
+
+
+ One year of high-precision operational data including measurement uncertainties from a large-scale solar thermal collector array with flat plate collectors, located in Graz, Austria
+ Tschopp
+ Data in Brief
+ 48
+ 10.1016/j.dib.2023.109224
+ 2023
+ Tschopp, D., Ohnewein, P., Stelzer, R., Feierl, L., Hamilton-Jones, M., Moser, M., & Holter, C. (2023). One year of high-precision operational data including measurement uncertainties from a large-scale solar thermal collector array with flat plate collectors, located in Graz, Austria. Data in Brief, 48, 109224. https://doi.org/10.1016/j.dib.2023.109224
+
+
+ ISO 24194 Solar energy — Collector fields — Check of performance
+ 2022
+ ISO 24194 Solar energy — Collector fields — Check of performance. (2022). [Standard]. International Organization for Standardization.
+
+
+ ISO 9806 Solar energy — Solar thermal collectors — Test methods
+ 2025
+ ISO 9806 Solar energy — Solar thermal collectors — Test methods. (2025). [Standard]. International Organization for Standardization.
+
+
+ Dynamic Collector Array Test (D-CAT). Final report FFG project 848766 - MeQuSo. Development of methods for quality assessment of large-scale solar thermal plants under real operating conditions.
+ Ohnewein
+ 10.5281/zenodo.7615252
+ 2020
+ Ohnewein, P., Tschopp, D., Hausner, R., & Doll, W. (2020). Dynamic Collector Array Test (D-CAT). Final report FFG project 848766 - MeQuSo. Development of methods for quality assessment of large-scale solar thermal plants under real operating conditions. AEE INTEC. https://doi.org/10.5281/zenodo.7615252
+
+
+ Large-scale solar thermal systems in leading countries: A review and comparative study of Denmark, China, Germany and Austria
+ Tschopp
+ Applied Energy
+ 270
+ 10.1016/j.apenergy.2020.114997
+ 2020
+ Tschopp, D., Tian, Z., Berberich, M., Fan, J., Perers, B., & Furbo, S. (2020). Large-scale solar thermal systems in leading countries: A review and comparative study of Denmark, China, Germany and Austria. Applied Energy, 270, 114997. https://doi.org/10.1016/j.apenergy.2020.114997
+
+
+ Solar engineering of thermal processes, photovoltaics and wind, 5th edition
+ Duffie
+ 10.1002/9781119540328
+ 978-1-119-54028-1
+ 2020
+ Duffie, J. A., Beckman, W. A., & Blair, N. (2020). Solar engineering of thermal processes, photovoltaics and wind, 5th edition. John Wiley & Sons. https://doi.org/10.1002/9781119540328
+
+
+ Guide to ISO 24194:2022 Power Check - procedure for checking the power performance of solar thermal collector fields
+ 10.5281/zenodo.16954914
+ 2025
+ Tschopp, D., Ohnewein, P., Mehnert, S., & Emberger, L. (Eds.). (2025). Guide to ISO 24194:2022 Power Check - procedure for checking the power performance of solar thermal collector fields [Report RB2 from IEA SHC Task 68]. https://doi.org/10.5281/zenodo.16954914
+
+
+ SunPeek open-source software for ISO 24194 performance assessment and monitoring of large-scale solar thermal plants
+ Tschopp
+ International Sustainable Energy Conference - Proceedings
+ 1
+ 10.52825/isec.v1i.1248
+ 2976-2030
+ 2024
+ Tschopp, D., Ohnewein, P., Hamilton-Jones, M., Zauner, P., Feierl, L., Moser, M., Zellinger, M., Kloibhofer, C., Koren, M., Mehnert, S., Duret, A., Jobard, X., Pauletta, S., Giovannetti, F., & Schiebler, B. (2024). SunPeek open-source software for ISO 24194 performance assessment and monitoring of large-scale solar thermal plants. International Sustainable Energy Conference - Proceedings, 1. https://doi.org/10.52825/isec.v1i.1248
+
+
+ Digital tools for solar thermal plant monitoring. A handbook for plant operators and associated stakeholders. Version 1.0 (june 2024)
+ Tschopp
+ 10.5281/zenodo.12523699
+ 2024
+ Tschopp, D., Ohnewein, P., Feierl, L., & Hamilton-Jones, M. (2024). Digital tools for solar thermal plant monitoring. A handbook for plant operators and associated stakeholders. Version 1.0 (june 2024). DIH Süd. https://doi.org/10.5281/zenodo.12523699
+
+
+ Pvlib python: 2023 project update
+ Anderson
+ Journal of Open Source Software
+ 92
+ 8
+ 10.21105/joss.05994
+ 2023
+ Anderson, K. S., Hansen, C. W., Holmgren, W. F., Jensen, A. R., Mikofski, M. A., & Driesse, A. (2023). Pvlib python: 2023 project update. Journal of Open Source Software, 8(92), 5994. https://doi.org/10.21105/joss.05994
+
+
+
+
+
+
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+
+
+
+
+
+
+
+Journal of Open Source Software
+JOSS
+
+2475-9066
+
+Open Journals
+
+
+
+7928
+10.21105/joss.07928
+
+SunPeek: Open-Source Tool for Performance Analytics of
+Solar Thermal Plants
+
+
+
+https://orcid.org/0000-0002-1682-3883
+
+Ohnewein
+Philip
+
+
+*
+
+
+https://orcid.org/0000-0002-2725-6773
+
+Hamilton-Jones
+Marnoch
+
+
+
+
+https://orcid.org/0000-0003-2871-1114
+
+Emberger
+Lukas
+
+
+
+
+https://orcid.org/0000-0002-6285-981X
+
+Tschopp
+Daniel
+
+
+
+
+
+https://orcid.org/0000-0001-9553-6905
+
+Zauner
+Peter
+
+
+
+
+https://orcid.org/0000-0001-8033-9351
+
+Gonzalez
+Jonathan Cazco
+
+
+
+
+https://orcid.org/0000-0002-0139-9266
+
+Moser
+Maria
+
+
+
+
+https://orcid.org/0000-0003-0959-9964
+
+Poier
+Hannes
+
+
+
+
+https://orcid.org/0000-0003-4773-416X
+
+Albert
+Christopher
+
+
+
+
+https://orcid.org/0009-0004-8096-5423
+
+Bonal
+Léo
+
+
+
+
+
+AEE – Institute for Sustainable Technologies,
+Austria
+
+
+
+
+SOLID Solar Energy Systems GmbH, Austria
+
+
+
+
+University of Innsbruck, Unit for Energy Efficient
+Buildings, Austria
+
+
+
+
+Graz University of Technology, Institute for Theoretical
+Physics – Computational Physics, Austria
+
+
+
+
+V-Research GmbH, Austria
+
+
+
+
+* E-mail:
+
+11
+119
+7928
+
+Authors of papers retain copyright and release the
+work under a Creative Commons Attribution 4.0 International License (CC
+BY 4.0)
+2026
+The article authors
+
+Authors of papers retain copyright and release the work under
+a Creative Commons Attribution 4.0 International License (CC BY
+4.0)
+
+
+
+python
+solar energy
+solar thermal
+renewable heat
+performance assessment
+
+
+
+
+
+
+ Summary
+
SunPeek is an open-source software designed to automate the
+ performance evaluation of solar thermal plants, focusing on
+ large-scale installations. Addressing both researchers and plant
+ operators, SunPeek provides a practical framework for operational
+ performance analysis. SunPeek computes expected solar thermal output
+ using models based on ISO 24194 and automates data ingestion and
+ cleaning, performance modeling and data analysis, result
+ visualization, and report generation. SunPeek emerged from
+ collaboration between research institutes and industry partners
+ (Tschopp,
+ Ohnewein, Hamilton-Jones, et al., 2024;
+ Tschopp
+ et al., 2025). To our knowledge, it provides the first
+ open-source implementation of the ISO 24194 Power Check
+ (ISO
+ 24194 Solar energy — Collector
+ fields — Check of performance, 2022),
+ a standardized methodology for evaluating the power performance of
+ solar thermal collector fields. SunPeek also integrates an open
+ dataset, comprising a full year of measurement data from a real-world,
+ large-scale solar plant, as described in a journal article
+ (Tschopp
+ et al., 2023).
+
+
+ Availability
+
Designed as a containerized web application, SunPeek includes a web
+ interface and a Python backend with a REST API, and a few auxiliary
+ repositories. The Python backend comprises approximately 27,500 lines
+ of code with 96.3% test coverage, while the JavaScript-based web
+ interface adds around 7,950 lines (both including tests, excluding
+ blank lines and comments). All
+ SunPeek
+ repositories are accessible via GitLab. Docker containers
+ are available on
+ DockerHub,
+ and there is a
+ public
+ demo server. The backend is also available as a standalone
+ Python package, listed on
+ PyPI.
+ SunPeek is a
+ NumFOCUS
+ affiliated project and is managed by a Steering Committee,
+ as detailed in the
+ governance
+ repository.
+ Community
+ guidelines outline how to contribute to SunPeek, and
+ detailed
+ documentation
+ is available.
+
SunPeek repositories are released under open licenses: GNU LGPL for
+ the
+ backend,
+ BSD-3-Clause for the
+ user
+ interface, CC-BY-SA 4.0 for the
+ open
+ dataset. A curated collection of SunPeek-related
+ publications, including the aforementioned dataset, technical reports,
+ and peer-reviewed articles, is available on the
+ SunPeek
+ Zenodo community.
+
+
+ Statement of Need
+
Solar thermal collectors convert solar radiation directly into
+ thermal energy by heating a working fluid circulating through the
+ collectors. Large-scale solar thermal plants provide heat for
+ applications such as industries or district heating and represent a
+ critical technology for the renewable energy transition
+ (Tschopp
+ et al., 2020). Assessing the performance of these systems is
+ inherently complex and has been extensively researched for decades
+ (Duffie
+ et al., 2020). Key challenges include the stochastic nature of
+ operating conditions (e.g., solar irradiance fluctuations, return
+ temperature oscillations), heat capacity and delay effects caused by
+ fluid transport, and lack of standardization in measurement setups of
+ solar thermal plants.
+
Before SunPeek, no open-source tools existed for modeling and
+ assessing solar thermal plant performance
+ (Tschopp,
+ Ohnewein, Feierl, et al., 2024). SunPeek addresses this and
+ distinguishes itself from commercial tools by combining scientifically
+ validated, tailored algorithms for solar thermal systems (like the ISO
+ 24194 Power Check), adaptive performance modeling based on measurement
+ data from real plant operation (unlike simulation tools), and
+ automated data processing and analytics. Its modeling framework adapts
+ to various hydraulic configurations and measurement setups. Serving as
+ the reference software implementation of the ISO 24194 Power Check
+ (Tschopp
+ et al., 2025), SunPeek streamlines methodological advancements
+ in the field. As illustrated in
+ [fig:C4_level1],
+ SunPeek addresses diverse users - technical experts (typically
+ accessing SunPeek via the Python backend or API) and general users
+ (via the JavaScript-based web app) - as well as external software and
+ monitoring systems that integrate via the REST API.
+
+
C4 System Context diagram of the SunPeek software
+ system.
+
+
+
+
Screenshot of SunPeek’s web user interface: Interactive
+ display of Power Check
+ results.
+
+
+
+
+ Algorithms and Automation
+
SunPeek offers a range of interactive features, including plant
+ configuration, Power Check analysis (see screenshot in
+ [fig:web_ui_screenshot]),
+ automated generation of PDF reports, and CSV export of calculation
+ results. A fully
+ documented
+ REST API enables programmatic access to all configuration
+ and analysis functionalities, enabling automation of all configuration
+ and analysis tasks.
+ [fig:automation_framework]
+ illustrates the automation framework for executing the Power Check,
+ including the key steps in modeling, data handling, and visualization.
+ [fig:C4_level2]
+ presents an overview of SunPeek’s software architecture, highlighting
+ the technologies employed and the interactions between core
+ components.
+
At the core of SunPeek’s performance analysis is the “Power Check”
+ method, a standardized procedure for evaluating the power performance
+ of solar thermal collector fields, based on
+ (ISO
+ 24194 Solar energy — Collector
+ fields — Check of performance, 2022).
+ This method employs a grey-box model that combines measurement data
+ with physical domain knowledge (e.g., collector efficiency parameters,
+ collector field geometry) to model the estimated power output during
+ stable operating intervals. The primary performance metric used in the
+ Power Check is the ratio of measured-to-estimated power output,
+ enabling a target-to-actual performance analysis on an absolute scale.
+ Tracking this metric over time can help identify faults and determine
+ whether the plant’s measured performance aligns with expectations.
+
The Power Check method factors in measured operating conditions
+ that influence system performance, such as solar radiation,
+ temperatures, and shading. This ensures that the Power Check
+ performance metrics generalize well: they are applicable across
+ various geographical regions, collector technologies, and weather
+ conditions. The insights derived from the Power Check can be valuable
+ for plant operation and maintenance: a drop in the target-to-actual
+ metric below expected values can indicate issues requiring action,
+ such as collector cleaning, control adjustments, or general
+ maintenance.
+
In addition to the standard Power Check, SunPeek features an
+ “Extended Power Check”, with improved data filtering
+ (Tschopp,
+ Ohnewein, Hamilton-Jones, et al., 2024). This enhancement uses
+ a moving-window method combined with a minimum-noise selection
+ criterion to improve result accuracy. Beyond Power Check analysis, the
+ SunPeek platform is designed to accommodate additional performance
+ analysis methods, including D-CAT (Dynamic Collector Array Test),
+ discussed in Future Work.
+
+
SunPeek automation framework for executing the Power
+ Check and other analysis methods. Customizable modules (white boxes)
+ include data handling, modeling, and
+ visualization.
+
+
+
[fig:automation_framework]
+ illustrates SunPeek’s framework for automating performance evaluations
+ of solar thermal plants, after an initial plant configuration step.
+ Automation concepts include:
+
+
+
Collector parameterization: SunPeek supports
+ collector efficiency parameters derived from the widely used QDT
+ (quasi-dynamic test) of
+ (ISO
+ 9806 Solar energy — Solar
+ thermal collectors — Test methods,
+ 2025). Parameters from various testing procedures (e.g.,
+ earlier versions of ISO 9806, steady-state tests, and different
+ incidence angle modifier models) are also accepted and
+ automatically converted as needed. The tool includes
+ pre-configured collectors and allows users to define custom
+ collectors. Development of an automated interface to the extensive
+ Solar
+ Keymark collector database is currently ongoing.
+
+
+
Robust data quality checks: SunPeek validates
+ plant configurations and time series data for consistency and
+ compatibility with the chosen analysis methods. These built-in
+ checks eliminate the need for data preprocessing using external
+ tools.
+
+
+
Heat transfer fluids: SunPeek uses
+ CoolProp
+ to compute fluid properties if required for the performance
+ calculations (e.g., temperature- and concentration-dependent
+ density and heat capacity). The software comes with pre-defined
+ heat transfer fluids commonly used in solar thermal plants.
+
+
+
Collector field mounting types: SunPeek
+ supports fixed-mounted and single-axis tracking collector fields,
+ covering two main mounting configurations in large-scale solar
+ thermal plants.
+
+
+
Virtual sensors: Virtual sensors derive
+ unmeasured quantities (e.g., solar position, collector field
+ shading, or fluid properties), enabling or enhancing modeling.
+ Virtual sensors are computed from measured sensor data and
+ parameters, accommodating the diverse and non-standardized
+ measurement setups found in solar thermal plants. SunPeek uses
+ pvlib
+ (Anderson
+ et al., 2023) for solar position and angle of incidence
+ calculations, incidence angle modifiers, shading fraction
+ estimation, and single-axis tracking geometry and shading.
+
+
+
Unit awareness: All physical parameters and
+ measurement data in SunPeek are encoded as unit-aware quantities,
+ leveraging the
+ pint
+ and
+ pandas
+ libraries. This ensures consistent and reliable handling of units
+ across all calculations and analyses.
+
+
+
+
C4 container diagram of the SunPeek software
+ system.
+
+
+
+
+ Usage and Community
+
The
+ IEA
+ SHC Task 68 Guide to the Power Check
+ (Tschopp
+ et al., 2025) documents use cases and successful deployments of
+ SunPeek in large-scale solar plants. The development team maintains
+ active collaboration with the solar thermal community, including both
+ industry and academia, and with the technical committee ISO/TC 180/SC4
+ responsible for developing the ISO 24194 standard. As the reference
+ implementation of ISO 24194, SunPeek has helped identify important
+ shortcomings and ambiguities in the standard, encouraging
+ collaboration among researchers, industry partners, and technical
+ committees. The SunPeek implementation, proposed method enhancements
+ and directions for future work, are comprehensively described in
+ (Tschopp
+ et al., 2025). A curated collection of SunPeek-related
+ publications is hosted on
+ Zenodo.
+
+
+ Future Work
+
We are integrating D-CAT (Dynamic Collector Array Test), a dynamic
+ performance analysis method that extends the ISO 9806 collector model
+ by incorporating transport effects in collector fields. It could be
+ used for fault diagnostics and solar energy yield assessment, relevant
+ for the financial performance of a solar plant. The D-CAT method has
+ been developed through several research projects; see
+ (Ohnewein
+ et al., 2020) for additional background. The implementation is
+ being developed in a
+ SunPeek
+ fork and is planned to be merged with the main project
+ later.
+
Other planned developments include enhancements to the Power Check
+ method, as outlined in
+ (Tschopp
+ et al., 2025), and implementation of the Annual Yield Check,
+ defined in a new revision of ISO 24194 targeted for 2026. Longer-term
+ goals are summarized in the
+ project
+ roadmap and include several key features: integrating an
+ automatic interface with the
+ Solar
+ Keymark collectors database, adding data integration with
+ common SCADA systems, and developing a cloud-based SunPeek solution to
+ enable software-as-a-service (SaaS) offerings.
+
+
+ Acknowledgements
+
SunPeek development was partially funded by the Austrian Research
+ Promotion Agency (grant no. FO999887648, FO999890460, FO999908366),
+ Austrian Federal Ministry of Labour and Economy (grant no.
+ SP-2024-02), and the European Commission (grant no. 101136140 and
+ 101235027). The authors acknowledge and thank all contributors to the
+ project, with special recognition to Michael Zellinger, Christian
+ Kloibhofer, Alexander Thür, Wolfgang Streicher and Martin Koren.
+
+
+
+
+
+
+
+
+ TschoppDaniel
+ OhneweinPhilip
+ StelzerRoman
+ FeierlLukas
+ Hamilton-JonesMarnoch
+ MoserMaria
+ HolterChristian
+
+ One year of high-precision operational data including measurement uncertainties from a large-scale solar thermal collector array with flat plate collectors, located in Graz, Austria
+ Data in Brief
+ 2023
+ 48
+ 10.1016/j.dib.2023.109224
+ 109224
+
+
+
+
+
+ ISO 24194 Solar energy — Collector fields — Check of performance
+ International Organization for Standardization
+ Geneva
+ 2022
+
+
+
+
+ ISO 9806 Solar energy — Solar thermal collectors — Test methods
+ International Organization for Standardization
+ Geneva
+ 2025
+
+
+
+
+
+ OhneweinPhilip
+ TschoppDaniel
+ HausnerRobert
+ DollWerner
+
+ Dynamic Collector Array Test (D-CAT). Final report FFG project 848766 - MeQuSo. Development of methods for quality assessment of large-scale solar thermal plants under real operating conditions.
+ AEE INTEC
+ Gleisdorf
+ 2020
+ 10.5281/zenodo.7615252
+
+
+
+
+
+ TschoppDaniel
+ TianZhiyong
+ BerberichMagdalena
+ FanJianhua
+ PerersBengt
+ FurboSimon
+
+ Large-scale solar thermal systems in leading countries: A review and comparative study of Denmark, China, Germany and Austria
+ Applied Energy
+ 202007
+ 20200604
+ 270
+ https://linkinghub.elsevier.com/retrieve/pii/S0306261920305092
+ 10.1016/j.apenergy.2020.114997
+ 114997
+
+
+
+
+
+
+ DuffieJohn A.
+ BeckmanWilliam A.
+ BlairNathan
+
+ Solar engineering of thermal processes, photovoltaics and wind, 5th edition
+ John Wiley & Sons
+ 2020
+ 978-1-119-54028-1
+ 10.1002/9781119540328
+
+
+
+
+ Guide to ISO 24194:2022 Power Check - procedure for checking the power performance of solar thermal collector fields
+
+ TschoppDaniel
+ OhneweinPhilip
+ MehnertStefan
+ EmbergerLukas
+
+ 2025
+ 10.5281/zenodo.16954914
+
+
+
+
+
+ TschoppDaniel
+ OhneweinPhilip
+ Hamilton-JonesMarnoch
+ ZaunerPeter
+ FeierlLukas
+ MoserMaria
+ ZellingerMichael
+ KloibhoferChristian
+ KorenMartin
+ MehnertStefan
+ DuretAlexis
+ JobardXavier
+ PaulettaStefano
+ GiovannettiFederico
+ SchieblerBert
+
+ SunPeek open-source software for ISO 24194 performance assessment and monitoring of large-scale solar thermal plants
+ International Sustainable Energy Conference - Proceedings
+ 20240424
+ 20240614
+ 1
+ 2976-2030
+ https://www.tib-op.org/ojs/index.php/isec/article/view/1248
+ 10.52825/isec.v1i.1248
+
+
+
+
+
+ TschoppDaniel
+ OhneweinPhilip
+ FeierlLukas
+ Hamilton-JonesMarnoch
+
+ Digital tools for solar thermal plant monitoring. A handbook for plant operators and associated stakeholders. Version 1.0 (june 2024)
+ DIH Süd
+ Graz
+ 2024
+ 20240626
+ 10.5281/zenodo.12523699
+
+
+
+
+
+ AndersonKevin S.
+ HansenClifford W.
+ HolmgrenWilliam F.
+ JensenAdam R.
+ MikofskiMark A.
+ DriesseAnton
+
+ Pvlib python: 2023 project update
+ Journal of Open Source Software
+ The Open Journal
+ 2023
+ 8
+ 92
+ https://doi.org/10.21105/joss.05994
+ 10.21105/joss.05994
+ 5994
+
+
+
+
+
+
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