Energy prices, what's your plan?

Arn't you over dramatic. There is no genocide so take your BBC mouthpiece elsewhere. The Uyghurs are in re-education camps for having religious beliefs, contary to the states and parties guidelines. If they don't like living in China, then they should move to another country where they are free to practice Islam.

 

This is how it goes isn't it. When you don't like the opinions all you can do is silence.

All I have stated is that it's against one countries laws and they are handling it accordingly.

 

Gareth rarely puts on his moderator hat, so I’ve deleted what I was going to post. Suffice it to say that the point has been made.

 

I'm employing restraint too...

 

I had a statement through recently and, thanks to government credit and me opting to pay more than the minimum, we’re several hundred in credit.

But that’s based on an estimated reading, because I completely forgot to give them updated readings. Despite multiple reminder notifications and messages to give them an updated reading! So I could well owe them money… Not too long ago I learned about the concept of the “ADHD tax”, and if I do owe money then this is a perfect real-world example of the ADHD tax in action!

Gareth with his moderator hat on is a slumbering beast that is rarely worth poking a stick at!

 

You're not poking hard enough!

 

If you have a smart meter you shouldn't need to submit anything they can get frequent actual readings, it still doesn't stop them from trying to take too much money though

 

And I’m checking with my landlord now to make sure they’re happy with us having smart meters installed. I can’t see why not, there’s literally no downside to it, but such is the way with rented properties.

I did just do readings though, and we’re below Octopus’ estimates so it’s all good.

Interesting idea. I had a similar idea after I discovered an MQTT gateway for SMETS2 meters - have it all logged in Home Assistant and pull the data from there. Though you’d need more features (I.e. data points) alongside the actual energy readings if you want to use and train a machine learning model, it’s gotta have something it can base the predictions off. Obviously date/time is a big one, but you could potentially also include weather conditions at the time - that’s likely to have significant predictive power for a model.

(Sorry, nerding out here a little - this is what I do for a day job! )

 

Wish I'd had a tenant like you.

 

Fortunately neither my landlord nor us want smart meters so there's nothing to discuss.
Unfortunately, our daughter is moving back home, so there go my finely laid plans to reduce our electricity usage., we are now a 2 fridge house again, and it'll soon be warmer so the garage fridge will need turning back on bringing us up to 3.

 

That's my three year gas consumption graph, it goes a bit wacky as the smart meter decided not to give proper readings but you can see by the red highlighted winter periods that we're pretty much gotten away without any gas this winter. Which is just as well as it's a bit pricey right now.

Please note that it's in m³ and you need to multiply by 11.24 to get kWh

 

OpenEnergyMonitor is a good open source program you can run on a Pi with CT clamps:
Or get a smart meter CAD that can send usage data locally. https://shop.glowmarkt.com/products/display-and-cad-combined-for-smart-meter-customers
Then use a MQTT client to log consumption. This can be Home Assistant or anything else, even OpenEnergyMonitor

This is my time-of-use calculations, I'm on Octopus Go so it's basing calculations on Go tariff times I've entered. But you can use this tool to simulate cost as if you were on any time-of-use smart tariff.

So I know off-peak price is most important to me, because I use 16:4.5 over last week cheap off-peak vs other times.