独立太阳能光伏系统健康状态评估的远程监测数据挖掘

2016 IEEE PES PowerAfrica Pub Date : 2016-06-01 DOI:10.1109/POWERAFRICA.2016.7556599

P. Davison, N. Wade, D. Greenwood

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引用次数: 2

摘要

在本文中，我们使用数据挖掘技术并制定合适的评估指标来得出独立太阳能家庭系统的健康状况(SOH)的估计。数据由一家在非洲拥有大量此类系统的公司提供。该系统包含一个光伏板、铅酸电池和一系列直流负载。数据挖掘使我们不仅可以估计电池的SOH，还可以推断其他系统组件的健康状况。

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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Data mining of remote monitored stand-alone solar PV systems for State of Health estimation

In this paper, we use data mining techniques and formulate suitable assessment metrics to derive estimates of the State of Health (SOH) of stand-alone solar home systems. Data is provided from a company with significant numbers of such systems in Africa. The systems in question contain a PV panel, lead-acid battery and a series of DC loads. Data mining allows us to not only estimate the SOH of the battery, but also infer the health of other system components.

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2016 IEEE PES PowerAfrica

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