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

Arman Ali, Nian Liu, Hasan Saeed Qazi, Bowen Ou
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Abstract

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.
基于模糊逻辑方法的多方用户能源需求估算
考虑到未来智能电网需要精确估计用户的能源需求,本文采用了基于模糊逻辑的方法,为设备或负荷的规划调度提供了综合依据。这种估计方法涵盖了最重要的方面,即与预测数据固有关联的不确定性。模糊逻辑系统通过定义某个值的真假程度,也就是所谓的真实程度,帮助智能电网运营商更准确地估计数据。为此,在一个实际数据上实现了一种方法,证明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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