量子启发的人工神经网络和进化算法方法应用于使用前一天市场数据的波兰电力交换建模

J. Tchórzewski, Dariusz Ruciński
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引用次数: 1

摘要

本文介绍了人工智能方法使用的研究结果,这些方法受到量子计算解决方案的启发,用于电力交换系统的建模。重点介绍了量子数据采集的建模方法、信息的量子化和去量子化以及执行量子计算的方法。此外,我们还分析了受量子计算机科学启发的神经模型和进化算法的结果。最后,以电力交换系统(EPE)的神经网络模型为例对该模型进行了验证。
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QUANTUM-INSPIRED ARTIFICIL NEURAL NETWORKS AND EVOLUTIONARY ALGORITHMS METHODS APPLIED TO MODELING OF THE POLISH ELECTRIC POWER EXCHANGE USING THE DAY-AHEAD MARKET DATA
The paper presents selected results of research on the use of artificial intelligence methods, which are inspired by quantum computing solutions for modelling of electric power exchange systems. Methods used in the modelling of quantum data acquisition, quantization and dequantization of information as well as the methods of performing quantum computations were emphasized. Furthermore, we have analysed the results obtained for the neural model and for the evolutionary algorithm inspired by the quantum computer science. Eventually, the model was verified on the example of the neural model of the Electric Power Exchange (EPE).
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