Solar Irradiance Forecasting Using Intelligent Technology

Because solar power is susceptible to clouds and substances in the air, the solar photovoltaic cannot produce stable power output. Solar irradiance is a measurement of the power output of photovoltaic module. Therefore, this paper uses some different combination inputs of the neural network to develop the solar irradiance forecasting with 24 hours ahead. Their forecasting performances are evaluated and some comparison results in Taichung solar farm are given.