NREL Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications

NREL Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications

Apr 27, 2021 | References

AUTHORS:
Lorenzo Gigoni, Alessandro Betti, Emanuele Crisostomi, Alessandro Franco, Mauro Tucci, Fabrizio Bizzarri and Debora Mucci.
ABSTRACT:
The ability to accurately forecast power generation from renewable sources is nowadays recognized as a fundamental skill to improve the operation of power systems. Despite the general interest of the power community in this topic, it is not always simple to compare different forecasting methodologies, and infer the impact of single components in providing accurate predictions. In this paper, we extensively compare simple forecasting methodologies with more sophisticated ones over 32 photovoltaic (PV) plants of different sizes and technology over a whole year. Also, we try to evaluate the impact of weather conditions and weather forecasts on the prediction of PV power generation.

i-EM presentation on power generation forecasting at EUPVSEC 2020

i-EM presentation on power generation forecasting at EUPVSEC 2020

Sep 8, 2020 | News

As many other events, also the EU PVSEC 2020 will be held completely online next week, from September 7th to 11th. We are very proud to take part to this 37th edition with the presentation of Michela Moschella, i-EM’s Data Scientist and PhD student, about the Power...