具有异常使用检测功能的在线需求响应EMS

2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2017-08-01 DOI:10.1109/SEGE.2017.8052811

Parisa Mahya, H. Tahayori, A. Sadeghian

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引用次数: 3

摘要

近几十年来，能源的重要性引发了新的研究领域，特别是能源管理系统(EMS)。在本文中，我们提出了一个在线需求响应EMS，具有检测和分离使用模式中的异常值和异常值的能力，可用于进一步处理。我们的结果表明，与现有方法和系统的结果相比，所提出的算法在高峰时段减少高峰使用方面最有效。

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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An online demand response EMS with anomaly usage detection

The importance of energy in recent decades has provoked new research areas, notably, Energy Management System (EMS). In this paper, we propose an online Demand Response EMS with the ability to detect and separate outliers and anomalies in usage pattern which can be used for further processing. Our results depict that the proposed algorithm is most effective in reducing peak usage during on-peak hours comparing to the results of existing methods and systems.

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来源期刊

2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE)

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