Patent Document ID: 9853592
Application ID: 14764102
Patent Flag: 1

Claim One:
1. A method for controlling an energy-generating system which can be operated with a renewable energy source, comprising: generating a prediction of an energy yield of the energy-generating system for a predefined prediction period and a predefined area using a learning system formed by a number n of neural networks each with an input vector and an output vector, wherein the output vector comprises one or more operating variables of the energy-generating system for a plurality of consecutive future times of the predefined prediction period, and wherein the input vector comprises one or more input variables influencing the operating variable or operating variables for one time from a plurality of times of a predefined observation period, wherein each of the n neural networks comprises an artificial neural feed-forward network with a plurality of interconnected layers which comprise an input layer, a plurality of hidden layers and an output layer, wherein the input layer contains a number of input neurons to describe the input vectors, wherein a respective hidden layer contains a number of hidden neurons and wherein the output layer contains a number of output neurons to describe the output vectors, wherein the output layer comprises a plurality of output clusters corresponding to the plurality of hidden layers and in each case comprising one or more output neurons, wherein each output cluster describes the same output vector and is connected to a different hidden layer, wherein the input variables comprise at least three of the following data for the predefined observation period and the predefined area: weather data, first image data of a cloud drift provided by a satellite, second image data of the cloud drift provided by a ground camera, and simulation data generated by a physical model for simulating the energy yield of the energy-generating system using the weather data, and controlling the energy-generating system on the basis of the generated prediction such that weather-related fluctuations in the energy yield of the energy-generating system are reduced.