Recent extensive discussion here:
A few of the issues (talked about above to a certain extent):
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Homes can vary dramatically in size/insulation/aspect/exposure/shadowing etc. That alone is a large multi-dimensional dataset.
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A ground-source heat pump, for example, is a lot more efficient than electric baseboard heat so you need to compare similar heating/cooling “devices”, not just electric vs oil. This becomes multi-dimensional pretty quickly especially because many homes will have a mix of systems.
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A less obvious factor, somewhat based on the first two issues, is “what does compare really mean?”. Meaning: Let’s say you see that you are in the bottom 10% of usage. Great. But you have a GSHP so you should be. OK. Ignoring house size and whatnot, then your goal might be to get to the bottom 5% of usage whereas if you knew you had a big house (relatively) then you might be dis-incentivized to even try.
Takeaway: Compare only works when you define precisely what it means and defining that in sufficient detail in the Sense world is a task of similar scale to electrical device disaggregation!