  This work deals with the problem of estimating a photovoltaic generation
forecasting model in scenarios where measurements of meteorological variables
(i.e. solar irradiance and temperature) at the plant site are not available. A
novel algorithm for the estimation of the parameters of the well-known PVUSA
model of a photovoltaic plant is proposed. Such a method is characterized by a
low computational complexity, and efficiently exploits only power generation
measurements, a theoretical clear-sky irradiance model, and temperature
forecasts provided by a meteorological service. An extensive experimental
validation of the proposed method on real data is also presented.
