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✨ Add PV yield prediction via predict_pv_yield_nwp #34
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Updated to get irradiance data from a Met Office UKV netcdf file. This should be easy to change to read from a Zarr store. The output is JSON that looks like this:
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Awesome, thanks @tomwhite! Just for my (very limited) understanding: Did you use the PV data from GCP to train the model once, and now for the inference bit we only rely on the NWP Metoffice data? Until we retrain, I suppose. The output already looks usable, thanks. I'd prefer to use lat/long over easting/northing though, to future proof a bit for expanding to other countries as well. Also, it would be best if the output was GeoJSON. I think the shape would look something like this then: {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [-1.299849, 54.368597]
},
"properties": {
"system_id": 973,
"time": 1591290000000,
"pv_yield_predicted": 507.5
}
} But you can also keep the shape this way, I'd just convert it in the FE then. |
Yes that's right.
Great idea! I will try to do that on the next iteration of this PR. |
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I've updated this to produce GeoJSON, e.g.
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This could be merged now and the change to use irradiance data done in a separate PR, or we could keep this open for that. Happy to do it either way. |
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Awesome! Thanks Tom!
Merging now, raised #41 to track the remaining work. |
This is not yet ready for merge, but it shows the idea behind #33. It still needs changing to use UKV irradiance data.
cc @JackKelly @fwirtz
Fixes #33