update iotools citation and ARJ grant numbers

Author: kandersolar

paper/paper.bib

@@ -80,11 +80,17 @@ @techreport{Augspurger2023
   institution = {The Linux Foundation}
 }
 
-@article{pvlibiotools,
+@article{Jensen2023,
+  doi = {10.1016/j.solener.2023.112092},
+  url = {https://doi.org/10.1016/j.solener.2023.112092},
+  year = {2023},
+  month = dec,
+  publisher = {Elsevier {BV}},
+  volume = {266},
+  pages = {112092},
   author = {Adam R. Jensen and Kevin S. Anderson and William F. Holmgren and Mark A. Mikofski and Clifford W. Hansen and Leland J. Boeman and Roel Loonen},
-  title = {{pvlib} iotools - open-source Python functions for seamless access to solar irradiance data},
-  year = {submitted},
-  journal = {Solar Energy},
+  title = {{pvlib} iotools{\textemdash}Open-source Python functions for seamless access to solar irradiance data},
+  journal = {Solar Energy}
 }
 
 @Article{         numpy,

paper/paper.md

@@ -141,7 +141,7 @@ Third, the creation of `pvlib.iotools`, a sub-package for fetching and importing
 datasets relevant to PV modeling.  These functions provide a standardized
 interface for reading data files in various complex data formats, offering
 conveniences like optionally standardizing the dataset variable names and units
-to pvlib's conventions [@pvlibiotools].  As of version 0.10.1, `pvlib.iotools` contains
+to pvlib's conventions [@Jensen2023].  As of version 0.10.1, `pvlib.iotools` contains
 functions to download data from over ten online data providers,
 plus file reading/parsing functions for a dozen solar resource file formats.
 
@@ -212,7 +212,7 @@ funding sources, including:
 
 - The U.S. Department of Energy’s Solar Energy Technology Office, through
   the PV Performance Modeling Collaborative (PVPMC) and other projects
-- The Danish Energy Agency through grant nos. 64020-1082 and 134232-510237
+- The Danish Energy Agency through grant nos. 134223-496801 and 134232-510237
 - NumFOCUS's Small Development Grant program
 - Google's Summer of Code program