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Probabilistic Model of Electric Vehicle Charging Demand to Distribution Network Impact Analyses

机译:电力车辆充电需求分布网络冲击分析的概率模型

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Future distribution networks will be quite different to those, we know today. One of the main factors of impact regarding the distribution net, is the progress in the e-mobility sector. Most accurate modelling of such network is by using real data from the consumers, mainly gathering data from the e-mobiles. Availability of such data in our research regions (mostly where e-mobility is expected to be growing) is extremely low. This is due to complexity of gathering such data on large scale. There's a need for accurate predictions of users behaviour in long term. This article is dealing with modelling the customer's behaviour based on the international statistics and its implementation into the probabilistic model itself.
机译:未来的分销网络与我们所知道的那些有意义。关于分销网的影响的主要因素之一是电子流动部门的进展。这种网络的最准确的建模是通过使用来自消费者的真实数据,主要从电子移动设备中收集数据。在我们的研究区域(主要是E-Mobility预期增长的地方)的这种数据的可用性极低。这是由于大规模收集这些数据的复杂性。需要长期准确预测用户行为。本文正在处理根据国际统计数据的建模客户行为及其在概率模型本身进入。

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