One of the key reasons I bought my Sense was to track my Electric Vehicle usage. After about 10 weeks, Hooray, Sense found my Tesla Model S (which I learned here is a device Sense claims to know all about). I charge my Tesla very nearly every night at midnight. But Today, Sense failed to recogniz…

I have installed 2 Sence monitors specifically to track my Tesla charging activity on the 2 circuit panels in my home. I have a 2017 Tesla Model X P100D that I charge 2 different ways, depending on where it is parked: Tesla Mobile Charger - NEMA 14-50 @ 50amps Tesla High Power Wall Charger @ 100a…

[image] y731633617: Tesla Mobile Charger - NEMA 14-50 @ 50amps As you can see from my post back in February, Sense eventually learned my Model S which uses a Tesla Mobile Charger - NEMA 14-50 @ 50amps. But then after about a week, it forgot it. I inquired about “why” it forgot it. The Sen…

@Ed_Texas , Read @RyanAtSense 's reply at the end of this thread. An EE should understand his explanation why Sense is somewhat flakey on EV detection right now, and why their new work on EVs should help. I can’t complain horribly since I have one Tesla, a Model S on the HPWC that is detected clos…

It’s not just a matter of the signature looking distinct, as I wrote in the post that @kevin1 linked to. The signature definitely does look distinct, it’s just a matter of getting the ML algorithm to reliably find it. And it’s not just policy that disallows users from speeding up the ML process. We…

I understand, but I (and apparently many others) purchased Sense and put hundreds of hours into it; all based on Sense marketing (and the TOH hype). What I wanted/expected was for Sense to be able to detect and track my major consumers, and it mostly hasn’t. Nowhere in the process was there disclos…

All Just to add to the frustration. I have 2 Teslas X and 3 and sense never picks up any of them. I charge one car at the time most days of the week… I like me sense and it is great tool for understating the energy consumption but the ML is very disappointing as it can not pick up these obvious pr…

I understand that the algorithm might need to look at very quick transitions to find some devices because otherwise they might look very much like another device, however when we are talking EV’s we are talking about huge draws over long periods of time, so perhaps the algorithm needs a fork that lo…

@Wick , I completely agree. Some of my biggest loads (pool pump, EV charging) are easy to spot with hourly data. Machine Learning appears to struggle with these, but customers don’t care what algorithm is used to identify them. It seems like Sense could combine different methods for different types …

Well put Steve. I couldn’t agree more!

Sense folks have already confirmed they are working on the framework for identifying long rise / fall devices (human-visible on and off events), especially EVs. And to be clear, machine learning can also easily identify this stuff, but only if it is looking at the correct time history window and set…

Sense forgot my EV (Tesla)

Identifying Devices in Your Home

RyanAtSense July 31, 2018, 3:41pm 30

Part of the challenge is that we’re dealing with some proprietary methods here. I recommend joining the Webinar if you haven’t already and getting some specific questions together: Customer Webinar - 8/17/2018

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Sense forgot my EV (Tesla)

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