事件驱动测量方法中的几何数值积分

M. Simonov
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引用次数: 0

摘要

事件驱动计量(Event-Driven Metering, EDM)方法是一种基于数据驱动的测量数据压缩方法,该方法将负载的原始任意形状替换为表示每段时间内相同能量值的简化多边形线。EDM算法接收编码本地测量值的Shannon数据样本,并将预处理后的知识以lebesgue事件的形式报告给控制主机。本文解释了该发明的数学基础,该发明允许提高数据效率。该方法将能量系统的整体行为分解为线性化的块序列,利用能量守恒定律建立数据驱动的几何积分。结果是一个运算符,它将负载形状映射到一个具有数据效率的令牌序列,这些令牌表示与原始模式中完全相同的能量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geometric numeric integration in the event-driven measurement method
The Event-Driven Metering (EDM) method is about data-driven compression of the measurement data based on the replacement of the original arbitrary shape of the load by a simplified polygonal line that represents the same values of the energy per interval of time. EDM algorithm receives the Shannon data samples encoding the local measurements and reports the pre-processed knowledge to the controlling hosts in the form of Lebesgue-based events. This article explains the mathematical foundations of the invention that allows improved data efficiency. Method decomposes the global behavior of an energy system in a sequence of linearized chunks and exploits the energy conservation law in order to set up data-driven geometric integration. The result is an operator that maps a load shape into a data-efficient sequence of tokens representing exactly the same energy quantities as in the original pattern.
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