nipunbatra / niomtk

This contains the code for a Non-Intrusive Occupancy Monitoring Toolkit that I will be building as part of my B.Tech Project.

NIOMTK This contains the code for a Non-Intrusive Occupancy Monitoring Toolkit that I will be building as part of my B.Tech Project.

AIM

The aim is to develop a system that uses a non-intrusive approach to predict occupancy of a given home in a given dataset. In order to do this, we will be looking at the following datasets:

1. REDD
2. AMPDs
3. COMBED

We will also be looking at atleast three different algorithms in order to solve this problem. The details of these will be decided later. As the project progresses, I will update the repository with the respective files.

niomtk's Issues

Processing over 10,000 elements leads to a segmentation fault in python.

Although we do not need to process over 10,000 elements for an adhoc analysis, this would be required in order to make a converter in order to make the CER dataset compatible with NILMTK.