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.