Data Validation Best Practices for Distributed Power Generation Remote Monitoring Systems

S.J. Heinzelman and T. Yeh (USA)


Distributed generation, data validation, remote monitoring


Connected Energy has developed a low-cost highly scalable web-based remote monitoring and management system, called COMSYS, targeted to distributed power generation (DG), including combined heat and power (CHP) installations. This system generates and stores a vast amount of performance data that is used for real-time display as well as for daily reporting. Ensuring the accuracy and validity of this data is crucial to the customer realizing the potential operational and analytical benefits of such a system. This paper describes a set of data validation best practices used by the COMSYS system that may also be applied to any system collecting time series data.

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