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Regional solar power forecasting

Authors: M. Pierro; C. Cornaro; D. Moser; A. Betti; M. Moschella; E. Collino; D Ronzio; +5 Authors

Regional solar power forecasting

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.

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Italy
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Settore ING-IND/11 - FISICA TECNICA AMBIENTALE, 600

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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