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PowerGrid

#Important links

Official source code repo: https://github.com/hmmlearn/hmmlearn
HTML documentation (stable release): https://hmmlearn.readthedocs.org/en/stable
HTML documentation (development version): https://hmmlearn.readthedocs.org/en/latest

#Dependencies

The required dependencies to use hmmlearn are

Python >= 2.6
NumPy (tested to work with >=1.9.3)
SciPy (tested to work with >=0.16.0)
scikit-learn >= 0.16

#Installation pip install -U --user hmmlearn

#securityProject.py: #using HMM-Guasian model, plots the graphs for train-data and test-data, over attributes "active-power" and "reactive-power"

#Decisions: #Year:2007 #Month:May

Tasks: plots:

  1. 2007 full year graph -Hao
  2. 2007 May first week -Sam
  3. weekdays for first week of 2007 May -Janet
  4. weekends for first week of 2007 May -Rafay

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power grid anomaly detection

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