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Nipun Batra
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Please help us to design a competition for energy disaggregation (#NILM) algorithms by filling in this survey!

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Hi everyone,
Wanted to share my work on a computational sustainability problem. It's accepted as a paper at KDD 2016. Would love to meet up if you're around.

Here's a 2 minute video teaser: https://www.youtube.com/watch?v=pzgqd9OhvDA&spfreload=10

Here's the abstract: The first step to saving energy in the home is often to create
an energy breakdown: the amount of energy used by
each individual appliance in the home. Unfortunately, current
techniques that produce an energy breakdown are not
scalable: they require hardware to be installed in each and
every home. In this paper, we propose a more scalable solution
called Gemello that estimates the energy breakdown
for one home by matching it with similar homes for which
the breakdown is already known. This matching requires
only the monthly energy bill and household characteristics
such as square footage of the home and the size of the household.
We evaluate this approach using 57 homes and results
indicate that the accuracy of Gemello is comparable to or
better than existing techniques that use sensing infrastructure
in each home. The information required by Gemello is
often publicly available and, as such, it can be immediately
applied to many homes around the world.

Here's the pdf: https://www.iiitd.edu.in/~nipunb/papers/gemello.pdf

Really happy to hear any feedback on the work!

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Hi everyone,
Wanted to share my work on a computational sustainability problem. It's accepted as a paper at KDD 2016. Would love to meet up if you're around.

Here's a 2 minute video teaser: https://www.youtube.com/watch?v=pzgqd9OhvDA&spfreload=10

Here's the abstract: The first step to saving energy in the home is often to create
an energy breakdown: the amount of energy used by
each individual appliance in the home. Unfortunately, current
techniques that produce an energy breakdown are not
scalable: they require hardware to be installed in each and
every home. In this paper, we propose a more scalable solution
called Gemello that estimates the energy breakdown
for one home by matching it with similar homes for which
the breakdown is already known. This matching requires
only the monthly energy bill and household characteristics
such as square footage of the home and the size of the household.
We evaluate this approach using 57 homes and results
indicate that the accuracy of Gemello is comparable to or
better than existing techniques that use sensing infrastructure
in each home. The information required by Gemello is
often publicly available and, as such, it can be immediately
applied to many homes around the world.

Here's the pdf: https://www.iiitd.edu.in/~nipunb/papers/gemello.pdf

Really happy to hear any feedback on the work!

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