https://github.com/sandialabs/pecos

Python package for performance monitoring of time series data
https://github.com/sandialabs/pecos

scr-2046 snl-data-analysis

Last synced: over 1 year ago
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Python package for performance monitoring of time series data

• Host: GitHub
• URL: https://github.com/sandialabs/pecos
• Owner: sandialabs
• License: other
• Created: 2016-03-18T20:15:37.000Z (over 10 years ago)
• Default Branch: main
• Last Pushed: 2025-04-03T15:08:00.000Z (over 1 year ago)
• Last Synced: 2025-04-13T00:47:27.624Z (over 1 year ago)
• Topics: scr-2046, snl-data-analysis
• Language: Python
• Homepage:
• Size: 18.3 MB
• Stars: 69
• Watchers: 15
• Forks: 49
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

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

=========================================

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[![Downloads](https://pepy.tech/badge/pecos)](https://pepy.tech/project/pecos)

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 https://sandialabs.github.io/pecos/

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. 

License

------------

Revised BSD.  See the LICENSE.txt file.

Organization

------------

Directories

  * pecos - Python package

  * documentation - User manual

  * examples - Examples

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.