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Python package for performance monitoring of time series data.

Project description

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Advances in sensor technology have rapidly increased our ability to monitor natural and human-made physical systems. In many cases, it is critical to process the resulting large volumes of data on a regular schedule and alert system operators when the system has changed. Automated quality control and performance monitoring can allow system operators to quickly detect performance issues.

Pecos is an open source Python package designed to address this need. Pecos includes built-in functionality to monitor performance of time series data, subject to a series of quality control tests. The Python package includes methods to run quality control tests defined by the user and generate reports which include performance metrics, test results, and graphics. The software was developed specifically for solar photovoltaic system monitoring, but is designed to be used for a wide range of applications.

For more information, go to

Citing Pecos

To cite Pecos, use one of the following references:

  • K.A. Klise and J.S. Stein (2016), Performance Monitoring using Pecos, Technical Report SAND2016-3583, Sandia National Laboratories.
  • K.A. Klise and J.S. Stein (2016), Automated Performance Monitoring for PV Systems using Pecos, 43rd IEEE Photovoltaic Specialists Conference (PVSC), Portland, OR, June 5-10.


Revised BSD. See the LICENSE.txt file.


  • pecos - Python package
  • documentation - User manual
  • examples - Examples
  • ci - Software requirements


Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA-0003525.

Project details

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