TY - GEN
T1 - An open source solar power forecasting tool using PVLIB-Python
AU - Holmgren, William F.
AU - Groenendyk, Derek G.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/18
Y1 - 2016/11/18
N2 - We describe an open-source PV power forecasting tool based on the PVLIB-Python library. The tool allows users to easily retrieve standardized weather forecast data relevant to PV power modeling from NOAA/NCEP/NWS models including the GFS, NAM, RAP, HRRR, and the NDFD. A PV power forecast can then be obtained using the weather data as inputs to the comprehensive modeling capabilities of PVLIB-Python. Standardized, open source, reference implementations of forecast methods using publicly available data may help advance the state-of-the-art of solar power forecasting.
AB - We describe an open-source PV power forecasting tool based on the PVLIB-Python library. The tool allows users to easily retrieve standardized weather forecast data relevant to PV power modeling from NOAA/NCEP/NWS models including the GFS, NAM, RAP, HRRR, and the NDFD. A PV power forecast can then be obtained using the weather data as inputs to the comprehensive modeling capabilities of PVLIB-Python. Standardized, open source, reference implementations of forecast methods using publicly available data may help advance the state-of-the-art of solar power forecasting.
KW - PV modeling
KW - forecasting
KW - performance modeling
KW - software
UR - http://www.scopus.com/inward/record.url?scp=85003707689&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85003707689&partnerID=8YFLogxK
U2 - 10.1109/PVSC.2016.7749755
DO - 10.1109/PVSC.2016.7749755
M3 - Conference contribution
AN - SCOPUS:85003707689
T3 - Conference Record of the IEEE Photovoltaic Specialists Conference
SP - 972
EP - 975
BT - 2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 43rd IEEE Photovoltaic Specialists Conference, PVSC 2016
Y2 - 5 June 2016 through 10 June 2016
ER -