The aim of this project is an essential improvement of irradiance forecast service focused on photovoltaics systems using innovative approaches (learning algorithms) and applying this service for an effective control of local energy systems. Local energy system using solar energy will use innovative methods - predictive control based on load history, user setup and connection to cloud service of solar irradiance forecast. The topic of this project air toward smart energy with high penetration of renewable sources that will be preferably locally.