This is correct. What's important for industry is understanding the energy balance, i.e. entries and exits to and from the grid. "Generation" is a catch-all term for grid entries.
Generation in this instance means power generation to meet consumption demand. Typically withdrawals from storage are counted as a source of supply to meet that demand regardless of the original source of the power in storage.
So either the solar, wind, etc. datapoints are not being stored or they are double counting. It seems very unlikely all these solar, wind, etc. generators are not storing energy.
It depends on what you're thinking of. No, the solar panels on my roof have no battery on the property. The wind turbines will have inertia, but no other store. I doubt the majority of the solar panel farms have batteries.
A bit of digging in the T&Cs, Companies House, and LinkedIn pointed me to an individual working for the NHS who has put this together as a side project.
I work in this space (https://www.woodmac.com/), mostly with natural gas data but have worked on power in the past so I'm always interested to see if it's anyone I know (in this case it isn't).
Building something like this isn't really that difficult - all of the data is publicly accessible and if you can transform it and pull it into a database and build a front-end app then you're pretty much there. The developer has stated that the main source for this is https://bmrs.elexon.co.uk/, but other good sources of energy data (across Europe) are https://transparency.entsoe.eu/ for power and https://transparency.entsog.eu/ for gas. Also useful are https://alsi.gie.eu/ for LNG imports and https://agsi.gie.eu/ for gas storage.
I find it really weird that a discussion on the state of SQL right now doesn't include any mention of Snowflake or dbt. SQL is _everywhere_ in the data engineering world right now.
The Open University runs a Master's program in systems thinking (which I'm currently studying). There's a free primer course called 'Mastering systems Thinking in Practice' that gives a good overview and is full of references for further reading in the field: https://www.open.edu/openlearn/science-maths-technology/mast...
The articles, books, and guides available (free) at https://thesystemsthinker.com/ are also worth a look. This mostly pertains to system dynamics rather than any other traditions, but it's a great resource for understanding complexity.
I visited Boston from the UK last year and was struck by the lower level of traffic noise. I attributed it to there being far fewer diesel cars and more EVs & hybrids. In the UK we have diesel powered buses and taxis everywhere as well as lots of personal cars, and the engines all have a much deeper and louder rumble than petrol engines.
Oh that last point! My friends and I used to just strafe along every single wall and all you could see was the wall texture until it was time to shoot. We knew all the levels so well that just the changes in lighting, or sometimes how quickly a door opened, were enough for us to tell where someone else was (avoid the coloured corridors in Complex).
Screen cheating is a skill, countering it is a skill, and countering THAT is an even bigger skill.
Oh the sounds too. You knew when someone opened a door and there are only so many doors and if they opened two doors in rapid succession.. they were gonzo. The game is really a game of mastering all senses I guess lol.
The all-Europe equivalent is ENTSO-E[1], which has down to 15-minute granularity (depending on operator I think) data for every generation unit in Europe.
There's a similar platform for the gas network too[2] - only daily data but it does have a map interface where you can see the main transmission pipelines across the continent.
I work in energy markets analytics, so grab data from these on a regular basis for SMEs.
