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A method for computer-assisted determination of the usage of electrical energy produced by a power generation plant, particularly a renewable power generation plant

机译:一种用于计算机辅助确定发电厂,特别是可再生发电厂产生的电能使用量的方法

摘要

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 invention relates to 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 method uses a plurality of neural networks (NN1, NN2) having a different structure or being learned differently for calculating future energy amounts produced by a power generation plant. To do so, the energy outputs of the power generation plant forecasted by the plurality of the neural networks (NN1, NN2) are used to build histograms. Based on those histograms, energy amounts for different confidence levels describing the likelihood of the availability of the energy amount are determined and different uses are assigned to different energy amounts. Particularly, energy amounts having a higher likelihood of availability in the future are sold at higher prices than other energy amounts. The method of the invention is preferably used for renewable power generation plants for which the energy output is fluctuating according to environmental conditions. E.g., the invention may be used for a wind power generation plant or a solar power generation plant.
机译:用于计算机辅助确定发电厂,特别是可再生发电厂的电能使用量的方法。本发明涉及一种用于计算机辅助确定发电厂的电能使用量的方法。 ,尤其是可再生能源发电厂。该方法使用具有不同结构或被不同地获知的多个神经网络(NN1,NN2)来计算发电站产生的未来能量。为此,通过多个神经网络(NN1,NN2)预测的发电厂的能量输出将用于构建直方图。基于这些直方图,确定描述该能量可用性的可能性的不同置信度级别的能量,并将不同的用途分配给不同的能量。特别地,与其他能量相比,将来具有更高可用性可能性的能量以更高的价格出售。本发明的方法优选地用于能量输出根据环境条件而波动的可再生发电厂。例如,本发明可以用于风力发电厂或太阳能发电厂。

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