@inproceedings{9c5c55eb5fdc4442ac4bae72ce486c4e,
title = "An operational, real-time forecasting system for 250 MW of PV power using NWP, satellite, and DG production data",
abstract = "We developed a real-time PV power forecasting system for Tucson Electric Power using a combination of high-resolution numerical weather prediction, satellite imagery, distributed generation (DG) production data, and irradiance sensors. The system provides forecasts with 10 second resolution for the first 30 minutes and 3 minute resolution out to 3 days. Forecasts out to 30 minutes are updated every 60 seconds based on new data from DG installations and irradiance sensors.",
keywords = "forecasting, real-time systems, sensors, solar energy",
author = "Holmgren, {William F.} and Lorenzo, {Antonio T.} and Michael Leuthold and Kim, {Chang Ki} and Cronin, {Alexander D.} and Betterton, {Eric A.}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 40th IEEE Photovoltaic Specialist Conference, PVSC 2014 ; Conference date: 08-06-2014 Through 13-06-2014",
year = "2014",
month = oct,
day = "15",
doi = "10.1109/PVSC.2014.6925222",
language = "English (US)",
series = "2014 IEEE 40th Photovoltaic Specialist Conference, PVSC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "80--84",
booktitle = "2014 IEEE 40th Photovoltaic Specialist Conference, PVSC 2014",
}