Solar irradiance forecasting model based on extreme learning machine

The Off-Grid systems are systems with an independence on the energy supply from external grid, whereas renewables (RES) are used as a sources of electric and heat energy. The main RES is photovoltaic power plant (PVP), however this source has the stochastic character of power supply. The stochastic character of PVP is given by dependency on a weather conditions. This brings a need of solar irradiance forecasting. The solar irradiance forecasting is very important tool for the forecasting of the PVP energy production and it can be used for the optimization of the power flows in the Off-Grid systems. This paper presents a solar irradiance forecasting model based on extreme learning machine.