@@ -13,7 +13,7 @@ RdTools is an open-source library to support reproducible technical analysis of
1313time series data from photovoltaic energy systems. The library aims to provide
1414best practice analysis routines along with the building blocks for users to
1515tailor their own analyses. Current applications include the evaluation of PV
16- production over several years to obtain rates of performance degradation and
16+ production over several years to obtain rates of performance degradation and
1717soiling loss. RdTools can handle both high frequency (hourly or better) or low
1818frequency (daily, weekly, etc.) datasets. Best results are obtained with higher
1919frequency data.
@@ -34,10 +34,10 @@ RdTools currently is tested on Python 3.9+.
3434To cite RdTools, please use the following along with the version number
3535and the specific DOI coresponding to that version from [ Zenodo] ( https://doi.org/10.5281/zenodo.1210316 ) :
3636
37- - Michael G. Deceglie, Ambarish Nag, Adam Shinn, Gregory Kimball ,
38- Daniel Ruth, Dirk Jordan, Jiyang Yan, Kevin Anderson, Kirsten Perry ,
39- Mark Mikofski, Matthew Muller, Will Vining, and Chris Deline ,
40- RdTools, version {insert version}, Computer Software,
37+ - Michael G. Deceglie, Kevin Anderson, Adam Shinn, Ambarish Nag, Mark Mikofski ,
38+ Martin Springer, Jiyang Yan, Kirsten Perry, Sandra Villamar, Will Vining ,
39+ Gregory Kimball, Daniel Ruth, Noah Moyer, Quyen Nguyen, Dirk Jordan ,
40+ Matthew Muller, and Chris Deline, RdTools, version {insert version}, Computer Software,
4141 https://github.com/NREL/rdtools . DOI:{insert DOI}
4242
4343The underlying workflow of RdTools has been published in several places.
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