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- Welcome to pvlib-python's documentation!
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+ pvlib-python
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========================================
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- pvlib-python provides a set of documented functions for simulating
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- the performance of photovoltaic energy systems.
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- The toolbox was originally developed in MATLAB at
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- Sandia National Laboratories and it implements many of the
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- models and methods developed at the Labs.
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- More information on Sandia Labs PV performance modeling programs
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- can be found at https://pvpmc.sandia.gov/.
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-
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- The source code for pvlib-python is hosted on
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- `github <https://github.com/pvlib/pvlib-python >`_.
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-
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- The github page also contains a valuable
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- `wiki <https://github.com/pvlib/pvlib-python/wiki >`_
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- with information on how you can contribute to pvlib-python development!
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-
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- Please see the links above for details on the status of the pvlib-python
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- project. We are at an early stage in the development of this project,
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- so expect to see significant API changes in the next few releases.
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-
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- This documentation focuses on providing a reference for all of
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- the modules and functions available in pvlib-python.
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- For examples of how to use pvlib-python, please see the
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- `tutorials <http://nbviewer.ipython.org/github/pvlib/pvlib-python/tree/master/docs/tutorials/ >`_.
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- Some of the tutorials were written with older
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- versions of pvlib-python and we would greatly appreciate your
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- help updating them!
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-
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- .. note ::
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-
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- This documentation assumes general familiarity with
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- Python, NumPy, and Pandas. Google searches will yield many
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- excellent tutorials for these packages.
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-
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- Please see our
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- `PVSC 2014 paper <http://energy.sandia.gov/wp/wp-content/gallery/uploads/PV_LIB_Python_final_SAND2014-18444C.pdf >`_
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- and
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- `PVSC 2015 paper <https://github.com/pvlib/pvsc2015/blob/master/pvlib_pvsc_42.pdf >`_
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- (and the `notebook to reproduce the figures <http://nbviewer.ipython.org/github/pvlib/pvsc2015/blob/master/paper.ipynb >`_) for more information.
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-
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- The GitHub wiki also has a page on `Projects and publications that use pvlib python <https://github.com/pvlib/pvlib-python/wiki/Projects-and-publications-that-use-pvlib-python >`_ for inspiration and listing of your application.
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-
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- There is a :ref: `variable naming convention <variables_style_rules >` to ensure consistency throughout the library.
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-
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- Installation
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- ============
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-
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- 1. Follow Pandas'
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- `instructions <http://pandas.pydata.org/pandas-docs/stable/install.html >`_
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- for installing the scientific python stack, including ``pip ``.
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- #. ``pip install pvlib-python ``
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+ pvlib-python provides a set of documented functions for simulating the
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+ performance of photovoltaic energy systems. The toolbox was originally
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+ developed in MATLAB at Sandia National Laboratories and it implements
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+ many of the models and methods developed at the Labs. More information
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+ on Sandia Labs PV performance modeling programs can be found at
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+ https://pvpmc.sandia.gov/.
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+
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+ The source code for pvlib-python is hosted on `github
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+ <https://github.com/pvlib/pvlib-python> `_.
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+
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+ Please see the :ref: `installation ` page for installation help.
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+
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+ For examples of how to use pvlib-python, please see
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+ :ref: `package_overview ` and our `Jupyter Notebook tutorials
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+ <http://nbviewer.ipython.org/github/pvlib/pvlib-python/tree/master/docs/
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+ tutorials/> `_. The documentation assumes general familiarity with
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+ Python, NumPy, and Pandas. Google searches will yield many
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+ excellent tutorials for these packages.
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+
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+ The pvlib-python GitHub wiki has a `Projects and publications that use
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+ pvlib python
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+ <https://github.com/pvlib/pvlib-python/wiki/Projects-and-publications-
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+ that-use-pvlib-python> `_ page for inspiration and listing of your
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+ application.
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+
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+ There is a :ref: `variable naming convention <variables_style_rules >` to
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+ ensure consistency throughout the library.
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+
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+ Citing pvlib-python
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+ ===================
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+
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+ Many of the contributors to pvlib-python work in institutions where
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+ citation metrics are used in performance or career evaluations. If you
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+ use pvlib-python in a published work, please cite the most appropriate
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+ of:
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+
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+ * J. S. Stein, “The photovoltaic performance modeling
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+ collaborative (PVPMC),” in Photovoltaic Specialists Conference, 2012.
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+ * R.W. Andrews, J.S. Stein, C. Hansen, and D. Riley, “Introduction
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+ to the open source pvlib for python photovoltaic system
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+ modelling package,” in 40th IEEE Photovoltaic Specialist
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+ Conference, 2014.
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+ (`paper
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+ <http://energy.sandia.gov/wp/wp-content/gallery/uploads/PV_LIB_Python_final_SAND2014-18444C.pdf> `_)
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+ * W.F. Holmgren, R.W. Andrews, A.T. Lorenzo, and J.S. Stein,
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+ “PVLIB Python 2015,” in 42nd Photovoltaic Specialists Conference, 2015.
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+ (`paper
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+ <https://github.com/pvlib/pvsc2015/blob/master/pvlib_pvsc_42.pdf> `_ and
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+ the `notebook to reproduce the figures
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+ <http://nbviewer.ipython.org/github/pvlib/pvsc2015/blob/master/paper.ipynb> `_)
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+ * J.S. Stein, W.F. Holmgren, J. Forbess, and C.W. Hansen,
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+ "PVLIB: Open Source Photovoltaic Performance Modeling Functions
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+ for Matlab and Python," in 43rd Photovoltaic Specialists Conference, 2016.
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+ * W.F. Holmgren and D.G. Groenendyk,
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+ "An Open Source Solar Power Forecasting Tool Using PVLIB-Python,"
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+ in 43rd Photovoltaic Specialists Conference, 2016.
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+
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+ Specific released versions of pvlib-python can be cited using their
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+ `Zenodo DOI <https://zenodo.org/search?ln=en&p=pvlib&action_search= >`_.
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Contents
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========
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.. toctree ::
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:maxdepth: 2
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-
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- self
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+
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package_overview
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whatsnew
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+ installation
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+ contributing
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modules
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classes
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comparison_pvlib_matlab
@@ -72,6 +82,4 @@ Indices and tables
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==================
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* :ref: `genindex `
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- * :ref: `modindex `
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* :ref: `search `
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-
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