HIGHLIGHTS
- who: SONIA LEVA et al. from the Department of Energy, Politecnico di Milano, Milano, Italy have published the paper: PV Plant Power Nowcasting: A Real Case Comparative Study With an Open Access Dataset, in the Journal: (JOURNAL)
- what: In this paper a novel comprehensive methodology aiming at computing the PV power forecast on different time horizons and resolutions is introduced.
- how: Moving from the 24-hours ahead prediction provided by the Physical Hybrid Artificial Neural Network (PHANN) a technique to refine the power forecast for the following hours with an hourly granularity is . . .
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