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Jul 9, 2020
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Overview update #186

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5205883
Overview update
mdeceglie Jul 7, 2020
9352a58
Add change to readme
mdeceglie Jul 9, 2020
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8 changes: 4 additions & 4 deletions README.md
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Expand Up @@ -10,10 +10,10 @@ RdTools is an open-source library to support reproducible technical analysis of
time series data from photovoltaic energy systems. The library aims to provide
best practice analysis routines along with the building blocks for users to
tailor their own analyses.
In particular, PV production data is evaluated over several years
to obtain rates of performance degradation and soiling loss. RdTools can
handle both high frequency (hourly or better) or low frequency (daily, weekly, etc.)
datasets. Best results are obtained with higher frequency data.
Current applications include the evaluation of PV production over several years to obtain
rates of performance degradation and soiling loss. RdTools can handle
both high frequency (hourly or better) or low frequency (daily, weekly,
etc.) datasets. Best results are obtained with higher frequency data.

RdTools can be installed automatically into Python from PyPI using the
command line:
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2 changes: 1 addition & 1 deletion docs/sphinx/source/index.rst
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Expand Up @@ -16,7 +16,7 @@ RdTools is an open-source library to support reproducible technical analysis of
time series data from photovoltaic energy systems. The library aims to provide
best practice analysis routines along with the building blocks for users to
tailor their own analyses.
In particular, PV production data is evaluated over several years to obtain
Current applications include the evaluation of PV production over several years to obtain
rates of performance degradation and soiling loss. RdTools can handle
both high frequency (hourly or better) or low frequency (daily, weekly,
etc.) datasets. Best results are obtained with higher frequency data.
Expand Down