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Python package for performance monitoring of time series data.

Project description

![Pecos](documentation/figures/logo.png)
=======================================

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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 http://pecos.readthedocs.io

License
------------

Revised BSD. See the LICENSE.txt file.

Organization
------------

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

Contact
-------
* Katherine Klise, Sandia National Laboratories, kaklise@sandia.gov
* Joshua Stein, Sandia National Laboratories, jsstein@sandia.gov

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.


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