A method for computer assisted determination of the usage of electrical energy produced by a power generation plant, particularly a renewable power generation plant, the electrical energy being fluctuating, comprising the steps of: - providing a plurality of neural networks (NN1, NN2) learned by training data, each neural network (NN1, NN2) comprising an input layer of neurons for describing inputs (x t-3, x t-2, x t-1, x t) affecting the energy produced by the plant, one or more hidden layers (H, H1, H2, H3) of neurons and an output layer (O, O1, O2, O3) of neurons for describing energy outputs (y t-3, y t-2, y t-1, y t, y t+1, y t+2, y t+3) of the plant, said energy outputs comprising future energy outputs (y t+1, y t+2, y t+3) for a plurality of points in time within a future time period, where each neural network (NN1, NN2) has a different structure and/or is learned differently; - forecasting the future energy outputs (y t+1, y t+2, y t+3) for the plurality of points in time by each neural network (NN1, NN2; characterized by the steps of: - calculating one or more histograms of future energy outputs (y t+1, y t+2, y t+3), each histogram representing the distribution of future energy outputs (y t+1, y t+2, y t+3) forecasted by the plurality of neural networks (NN1, NN2) for points in time in a corresponding time interval comprising one or more subsequent points in time; - determining one or more energy levels for each time interval, where each energy level (L1, L2, L3) is derived from a confidence level of a number of confidence levels, each confidence level representing a percentage of the future energy outputs (y t+1, y t+2, y t+3) in the corresponding histogram, where each future energy output (y t+1, y t+2, y t+3) within this percentage has the same or a greater value than the energy level (L1, L2, L3) being derived for the corresponding confidence level; - assigning predetermined uses to energy amounts (EA1, EA2, EA3) according to each energy level in each time interval, where an energy amount (EA1, EA2, EA3) according to an energy level (L1, L2, L3) represents the energy between the energy level (EA1, EA2, EA3) and the next lower energy level within the respective time interval. - providing a plurality of neural networks (NN1, NN2) learned by training data, each neural network (NN1, NN2) comprising an input layer of neurons for describing inputs (x t-3, x t-2, x t-1, x t) affecting the energy produced by the plant, one or more hidden layers (H, H1, H2, H3) of neurons and an output layer (O, O1, O2, O3) of neurons for describing energy outputs (y t-3, y t-2, y t-1, y t, y t+1, y t+2, y t+3) of the plant, said energy outputs comprising future energy outputs (y t+1, y t+2, y t+3) for a plurality of points in time within a future time period, where each neural network (NN1, NN2) has a different structure and/or is learned differently; - forecasting the future energy outputs (y t+1, y t+2, y t+3) for the plurality of points in time by each neural network (NN1, NN2; characterized by the steps of: - calculating one or more histograms of future energy outputs (y t+1, y t+2, y t+3), each histogram representing the distribution of future energy outputs (y t+1, y t+2, y t+3) forecasted by the plurality of neural networks (NN1, NN2) for points in time in a corresponding time interval comprising one or more subsequent points in time; - determining one or more energy levels for each time interval, where each energy level (L1, L2, L3) is derived from a confidence level of a number of confidence levels, each confidence level representing a percentage of the future energy outputs (y t+1, y t+2, y t+3) in the corresponding histogram, where each future energy output (y t+1, y t+2, y t+3) within this percentage has the same or a greater value than the energy level (L1, L2, L3) being derived for the corresponding confidence level; - assigning predetermined uses to energy amounts (EA1, EA2, EA3) according to each energy level in each time interval, where an energy amount (EA1, EA2, EA3) according to an energy level (L1, L2, L3) represents the energy between the energy level (EA1, EA2, EA3) and the next lower energy level within the respective time interval.