Thread by @yestiseye

@OskaArcher @MarkDuffett So a slight delay… my team of simians jetted in from Japan overnight where it looks like they had a quite lovely time… they had to drop off a NEG at Labor Party HQ en route however 😼

@OskaArcher @MarkDuffett I figured in the end that the "contour" format was best with a large dataset. Full year's correlation data for SA with other states (Qld though only recently introduced wind generation into the mix, so I used the "shade" format instead)

@OskaArcher @MarkDuffett Next I'll get Queensland out of the way since other than showing what one, then what looks like a second wind farm coming on stream looks like, the correlations have limited value. #whtr

@OskaArcher @MarkDuffett Now from the perspective of Victoria, correlation of wind generation with respect to the other states. @AusWindAll #whtr #VicVotes

@OskaArcher @MarkDuffett @AusWindAll Tasmania #whtr

@OskaArcher @MarkDuffett @AusWindAll & finally NSW #whtr
The one single thing that stands out consistently in all these plots is the high concentration at low output. Hardly surprising given what to me looks like a Poisson distribution of the typical wind turbine/farm…

@OskaArcher @MarkDuffett @AusWindAll …though I'm going to have to read up on the Weibull distribution at some point. sciencedirect.com/science/articl…
Regardless, really looking forward to these "dispatchable renewables". Once we have enough of it, the other kind won't be needed quite as much. 🤨

@OskaArcher @MarkDuffett @AusWindAll As a reference point, this is what *anti-*correlation looks like.
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