This document is the report of Task 16 “Solar Resource for High Penetration and Large Scale Applications”, which includes 20 participating countries from around the world and focuses mainly on two scientific issues: (i) high frequency variability and solar forecasts for managing grids with high penetration pf PV and local storage and (ii) high quality solar resource assessments and forecasts for solar installations notable in the multi MW class. The report corresponds to Subtask 3 “Evaluation of Current and Emerging Solar Forecasting Techniques” and specifically to Activity 3.2 “Regional Solar Power Forecasting”, which aims to collect and disseminate example datasets to help research activities in regional PV power forecasting and support the development of methods for aggregated regional PV power forecasting. The final goal is facilitating the penetration of distributed renewable systems into the electricity grid.
Pierro, M., Cornaro, C., Moser, D., Betti, A., Moschella, M., Collino, E., et al. (2020). Regional solar power forecasting. International Energy Agency (IEA).
Regional solar power forecasting
C. Cornaro;
2020-01-01
Abstract
This document is the report of Task 16 “Solar Resource for High Penetration and Large Scale Applications”, which includes 20 participating countries from around the world and focuses mainly on two scientific issues: (i) high frequency variability and solar forecasts for managing grids with high penetration pf PV and local storage and (ii) high quality solar resource assessments and forecasts for solar installations notable in the multi MW class. The report corresponds to Subtask 3 “Evaluation of Current and Emerging Solar Forecasting Techniques” and specifically to Activity 3.2 “Regional Solar Power Forecasting”, which aims to collect and disseminate example datasets to help research activities in regional PV power forecasting and support the development of methods for aggregated regional PV power forecasting. The final goal is facilitating the penetration of distributed renewable systems into the electricity grid.File | Dimensione | Formato | |
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IEA_PVPS_T16_regional_forecast.pdf
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