TY - GEN
T1 - Combining Physical Modeling with Artificial Intelligence for Solar Power Forecasting
AU - Haupt, Sue Ellen
AU - McCandless, Tyler C.
AU - Lee, Jared C.
AU - Kosovic, Branko
AU - Alessandrini, Stefano
AU - Dettling, Susan
AU - Hussain, Tahani
AU - Al-Rasheedi, Majed
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/6/14
Y1 - 2020/6/14
N2 - Modern renewable energy forecasting systems blend physical models with artificial intelligence (AI). This paper describes such a system being developed for the Shagaya Renewable Energy Park in Kuwait. This Kuwait Renewable Energy Prediction System uses both physical modeling and machine learning to produce forecasts for short-range forecasting (i.e. the next six hours) as well as for forecasts several days out. These systems work together to implement the best of our physical knowledge of atmospheric flow with actual observations at the site of interest. The system include numerical weather prediction, blending models, statistical learning models for short range prediction, and an analog ensemble to complete the forecast and quantify the uncertainty. This description includes a preliminary assessment of how each of these models performs.
AB - Modern renewable energy forecasting systems blend physical models with artificial intelligence (AI). This paper describes such a system being developed for the Shagaya Renewable Energy Park in Kuwait. This Kuwait Renewable Energy Prediction System uses both physical modeling and machine learning to produce forecasts for short-range forecasting (i.e. the next six hours) as well as for forecasts several days out. These systems work together to implement the best of our physical knowledge of atmospheric flow with actual observations at the site of interest. The system include numerical weather prediction, blending models, statistical learning models for short range prediction, and an analog ensemble to complete the forecast and quantify the uncertainty. This description includes a preliminary assessment of how each of these models performs.
KW - artificial intelligence
KW - Kuwait
KW - numerical weather prediction
KW - Shagaya
KW - solar power forecasting
UR - https://www.scopus.com/pages/publications/85099546134
U2 - 10.1109/PVSC45281.2020.9300434
DO - 10.1109/PVSC45281.2020.9300434
M3 - Conference contribution
AN - SCOPUS:85099546134
T3 - Conference Record of the IEEE Photovoltaic Specialists Conference
SP - 2051
EP - 2053
BT - 2020 47th IEEE Photovoltaic Specialists Conference, PVSC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 47th IEEE Photovoltaic Specialists Conference, PVSC 2020
Y2 - 15 June 2020 through 21 August 2020
ER -