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Optimal filtering of piecewise deterministic processes for source detection and separation in electric load monitoring

机译:分段确定性过程的最佳滤波,用于电力负载监控中的源检测和分离

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摘要

We wish to compute in discrete real time the best estimate for the composition of the total active power recorded at a customer's house, without any intrusion. A new solution for online characterization of the electric load is proposed. The solution is based on issues from the applied stochastic analysis of Markov processes. We specifically suggest that optimal filtering of a hybrid stochastic differential system covers entirely the detection and separation subproblems underlying the main problem.
机译:我们希望以离散的方式实时计算出在客户家中记录的总有功功率的最佳估计,而不会造成任何干扰。提出了一种在线表征电力负荷的新方法。该解决方案基于马尔可夫过程的应用随机分析中的问题。我们特别建议,混合随机差分系统的最佳滤波完全覆盖了主要问题背后的检测和分离子问题。

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