So far i’m digging it. I watch the app alot. I’m sure that may wean down. But for now its cool
I installed in January of this year. For several months, I was glued to the screen. While it’s a little less now, the wife still thinks Sense gets too much attention.
If it’s not Sense then it’s the community.
Maybe she is right. It’s our 26th Anniversary today and look where I am and what I’m doing.
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WOW congrats
How about for her gift you not look at sense for today (as if)
Doing some deeper digging on my power site, I got the actual numbers of daily cost. Here is how it compares to sense:
8/23/2019 Friday $3.93 -> Sense ~$4
8/24/2019 Saturday $5.45 -> Sense ~$5
8/25/2019 Sunday $3.93 -> Sense ~$4
8/26/2019 Monday $2.41 -> Sense ~$2
8/27/2019 Tuesday $2.91 -> Sense ~$3
Not too shabby !!!
She’s not home right now, have a little time to sneak a peek today.
She has been a real trooper with Sense. It has helped to make her more aware of our electric bill. She grew up with her dad in the Air Force and they lived in base housing where there are no bills. Those habits formed in the first 20 years have taken equal as long to try and change.
She and the kids will hear an alert from Sense on one of the phones or iPad and come run and tell me, “Dad, that was the front left stove burner” or something similar.
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ive only had mine a week or so and it has already made me so much aware of what i’m using when etc etc
I’d say we are spending about 10% less on electricity since installing Sense. This is just from the behavioral changes and there has not been any inconvenience or sacrifices.
I do all the cooking and we eat at home almost every night. I can’t count the number of times Sense has let me know when I’ve left the oven on. Something I used to forget about often.
That 10% could be just from the oven being left on all noght
Go ahead and post - they probably use Bidgeley, just like Duke energy does. They focus on energy disaggregation for utilities and run off of the data coming from utility meters.
Two big differences from Sense:
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It’s all based on monthly post-processing - no real-time bubbles, or waveforms, so much easier to analyze, plus much easier to fudge (you can’t see the relationship in time between an individual device and their reports)
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It’s all based on mostly 1 minute to 1 hour samples, though they have come up with some techniques to squeeze 1 sec data out of some meters. Because of that, I’m guessing that they primarily do “rules based” AI.
“However, Smart Meters generally record and transmit data in fifteen (15) minute intervals. This data is often too broad to support accurate means of non-intrusive appliance load monitoring. However, the Smart Meter and existing advanced metering infrastructure (AMI) can be utilized to provide more specific data without any sub-metering hardware. For example, in general Smart Meters consistently record data but only send back data based upon the fifteen (15) minute sampling. In order to provide accurate disaggregation, data based upon one (1) second sampling is desirable. However, such increased sampling requires a much greater amount of bandwidth and memory than is generally available in the Smart Meter and AMI.
However, in accordance with some embodiments of the present invention, Smart Meters can sample data in one (1) second intervals and the data can be compressed by storing the one (1) second sampled data for a period of time as memory permits—for example, fifteen (15) minutes. This window can then be pared down. For example, every five (5) minutes the one (1) second sampled data can be processed and only the transitions over a particular threshold may be stored. Establishing a threshold (for example, 20 W active power) may assist in reducing the noise captured by the data, which has the undesirable effect of increasing the total amount of data transmitted while not providing any increase in the amount of useful data.
Once the transitions are stored (including the time of the transition as well as the active and reactive power of the transition), the one (1) second sampling rate for the five (5) minute period may be deleted. This process may continue on a rolling basis, providing a compression result of approximately 30:1. The compressed data can be used to reconstruct the one (1) second data in order to effectively run NIALM techniques.
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dang… wont let me post since its a pdf. Let me see if i can screen shot some of the good stuff
More info - Bidgely’s approach is indeed hybrid. They use some waveform based analysis but also seem to blend in a lot of rules to get high coverage (all the power used by the house allocated to device categories). One set of rules that I see as helping with coverage but reducing accuracy are the ones that use the results of other similar homes to fill out your results.
Consumption data 2501 may also be used by rule-based models 2503 to perform rule-based itemization and estimation. Note that while not shown on FIG. 25, rule-based models may also utilize additional information, such as but not limited to training data, weather data, sunrise/sunset data, home data, home demographics, neighborhood/area demographics, tax records, etc. Such information may be found in publicly available data stores (such as tax records, weather data, etc.), or may be maintained by the utility or the party performing disaggregation and itemization (such as training data).
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I knew you would find all that … thanks.
Anybody out there with Bidgely and some irregular devices? Pumps? Bitcoin farms as “Entertainment” (or do they apply the lack of tax records here)?
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@sense folks
So within the app I know I can put my KWh rate so it can calculate my bill (approx).
I was talking to my power company. Their billing is a tiered level (which changes winter vs summer):
Tier1: First 650kWh $5.7 cents summer (same for winter)
Tier2: 650-1,000 kWh $9.4 summer (4.9 winter)
Tier3 >1,000 kWh $9.7 (4.7 for winter)
Question can sense handle multi tiered rates like this? I’m sure my power company is not the only utility doing this. I’m sure it wouldn’t be too difficult to code/add
Thoughts?
WOW, great power rates…we’re 17 cents/kwh all the time.
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Three things
- My power company, PG&E, has tiered billing as well. I’m assuming the numbers are per billing period. Do the cut overs between winter and summer happen on billing boundaries ?
- Sense doesn’t implement tiered billing today, but it is harder to implement than you might think. Many billing periods don’t follow the calendar exactly. It is also difficult to use the tiered price to make usage decisions - energy costs more at the end of a billing periods, even though it was caused usage earlier in the period.
- The workaround is to use a monthly average. Or use Excel to calculate using Sense export.
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