A forecasting method for hourly-averaged, day-ahead power output (PO) from photovoltaic
(PV) power plants based on least-squares optimization of Numerical Weather Prediction …

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 …

Accurate solar photovoltaic (PV) power forecasting allows utilities to reliably utilize solar
resources on their systems. However, to truly measure the improvements that any new solar …

The increase of the worldwide installed photovoltaic (PV) capacity and the intermittent
nature of the solar resource highlights the importance of power forecasting for the grid …

We present and compare two short‐term statistical forecasting models for hourly average
electric power production forecasts of photovoltaic (PV) plants: the analytical PV power …

A growing interest in renewable power increases its impact on the energy grid, posing
significant challenges to reliability, stability, and planning. Weather-based prediction …

The contribution of power production by photovoltaic (PV) systems to the electricity supply is
constantly increasing. An efficient use of the fluctuating solar power production will highly …

We compare the 24-hour ahead forecasting performance of two methods commonly used for
the prediction of the power output of photovoltaic systems. Both methods are based on …

Hourly solar and photovoltaic (PV) forecasts for horizons between 0 and 48 h ahead were
developed using Environment Canada's Global Environmental Multiscale model. The …

Solar forecasting has evolved towards becoming a key component of economical realization
of high penetration levels of photovoltaic (PV) systems. This paper presents two novel …