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Energy Demand Estimation of a Multi-Party Consumer using Fuzzy Logic Method

机译：模糊逻辑方法的多方消费者能源需求估算

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Considering the needs for the future smart grids to precisely estimate the energy demand of a consumer, a fuzzy-logic based method is adopted in this paper that provides a comprehensive ground for planning and scheduling of the equipment or load. This method of estimation covers the most important aspect i.e. the uncertainty which is inherently associated with the forecasted data. The Fuzzy logic system helps the smart grid operator to estimate the data more accurately by defining the extent to which a certain value is true or false, which in other words known as the degree of truth. For this purpose, a proposed method is implemented on a real-life data that demonstrates the effectiveness of the method.
机译：考虑到未来智能电网的需求精确估计消费者的能量需求，本文采用了一种模糊逻辑的方法，为设备或负载的规划和调度提供了全面的地面。这种估计方法涵盖了最重要的方面，即与预测数据固有相关的不确定性。模糊逻辑系统可帮助智能电网运算符更准确地通过定义一定值为真或假的程度来更准确地估计数据，这换句话说是称为真理的程度。为此目的，在现实生活数据上实现了一种提出的方​​法，该方法展示了该方法的有效性。

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