I wanted to share a proof of concept energy disaggregation appliance classifier we built using the EmonPi. It uses a simple neural network to classify what appliance is in use. While it’s got a ton of potential, due to time constraints we didn’t develop overlapping/concurrent appliance operation. It is equipped for a power strip installation for proof of concept. We documented everything so hopefully someone will take it further!
Thankyou for sharing @buchananwp this looks fantastic! I will take some time to read through you github repository.
Thanks @TrystanLea for developing and open-sourcing the emonPi!
Did anyone notice this from ST Micro
Not sure Trystan what progress has been made on the STM32 design but this could be interesting.
Per-breaker monitoring, with load recognition per channel might be a powerful combo. There’d be a few portable loads like vacuum cleaners that might get dragged from breaker to breaker, but most loads never change circuits.
My per-breaker monitor tells me that 42% of my long term power usage (90% at the time of capture) happens through one of the General Purpose Outlets (aka power points) breakers, which isn’t particularly useful for determining where the big consumers are:
(excuse the missing % symbols… I think some font change meant that no longer shows up and I’ve not gone in to fix it yet).