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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

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

* Katherine Klise, Sandia National Laboratories,
* Joshua Stein, Sandia National Laboratories,

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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