PV Module Power Output Forecasting

This paper examines the experiments presented in an IET
Renewable Power Generation Research paper that focused on validating
and optimizing the parameters of the Wakeby distribution, identified as
the most accurate method for forecasting photovoltaic (PV) module
power output. By utilizing Monte Carlo Simulations (MCS), we generate
distribution functions under pre-defined initial conditions and
assumptions specific to a particular location. This approach is crucial for
intermittent power sources like PV, which rely heavily on dynamic
variables like temperature and solar irradiance. By accurately
forecasting power output, this study aims to facilitate a smoother
integration of renewable energy sources into the grid, develop models to
identify potential weaknesses in the system, and formulate solutions to
mitigate or avoid them altogether.