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documentation minor fixes
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mdeceglie committed Oct 17, 2024
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2 changes: 1 addition & 1 deletion docs/degradation_and_soiling_example.ipynb
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Expand Up @@ -93942,7 +93942,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"# CODS\n",
"## CODS\n",
"\n",
"This section gives an introduction to the <b>Combined Degradation and Soiling (CODS)</b> algorithm workflow. For more information about CODS, we refer to [1] and [2].\n",
"\n",
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4 changes: 2 additions & 2 deletions docs/sphinx/source/changelog/pending.rst
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Expand Up @@ -9,9 +9,9 @@ when compared with older versions of RdTools

* Use the pvlib method for clear sky detection by default in :py:func:`~rdtools.analysis_chains.TrendAnalysis` (:pull:`412`)

* Change default clipping filter `model` to `logic` (:pull:`425`)
* Change default clipping filter ``model`` to ``logic`` (:pull:`425`)

* Turn on the `two_way_window_filter` by default in `TrendAnalysis` (:pull:`425`)
* Turn on the ``two_way_window_filter`` by default in ``TrendAnalysis`` (:pull:`425`)

* Upgrade pvlib 0.9.0 to 0.11.0 (:pull:`428`)

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4 changes: 2 additions & 2 deletions docs/sphinx/source/index.rst
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Expand Up @@ -65,7 +65,7 @@ Drift of weather sensors over time (particularly irradiance) can bias the result
of this workflow. The preferred way to check for this is to also run the workflow using
satellite-derived weather data such as the National Solar Radiation Database (NSRDB) and
compare results to the sensor-based analysis. If satellite data is not available,
a 'clear-sky' workflow is also available in RdTools. THis workflow is based on modeled
a 'clear-sky' workflow is also available in RdTools. This workflow is based on modeled
temperature and irradiance. Note that site irradiance data is still required to identify
clear-sky conditions to be analyzed.

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For more detailed instructions, see the :ref:`developer_notes` page.

RdTools currently is tested on Python 3.7+.
RdTools currently is tested on Python 3.9+.

Usage and examples
------------------
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