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## Detailed Description
A large part of my hope for the ML research we're doing in 2022 is to train across multiple "types" of prepared dataset. For example:
* Similar to what we used in December:…
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v1: Take satelight patch and plot data on it.
Might have to overlap a static map on the background.
v2: Add nwp data on top
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In order to quickly deploy the consumer and have it work with the soon to be retired PVNet1, which expects the "x" and "y" coordinates to be (poorly labelled) OSGB coordinates, a "quick fix" was put i…
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## Detailed Description
I think at the moment, every run of nwp-consumer saves to s3, even if there is no new data
## Context
- https://github.com/openclimatefix/PVNet/issues/83, not sure if …
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The dataset associated with the project is not yet accessible to the public.
@JackKelly @peterdudfield @jacobbieker
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This is the first step of the "new ML research direction" outlined in issue #7.
TODO:
- [x] find a PV system with shading issues
- [ ] predict PV power using:
- [x] pvlib fed with clearsky i…
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related: #35
3D cnn: sees two timesteps at once
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NWPs often improve their spatial resolution over time. So, for example, an NWP dataset spanning 2014-2024 might have used 0.5 degree from 2014-2019, and 0.25 degree from 2020-2024.
How to handle th…
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`keyword_UtilsWG` | by pjs548@nci.org.au
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There is a significant codes base of existing and important utilities, that are not fully up to the standards required. However they are critical t…
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Not exactly graph neural network, but does focus on forecasting NWP and climate data
## Detailed Description
https://arxiv.org/pdf/2207.05833.pdf
## Context
## Possible Implementation
…