Try using an RNN for PV (followed by transformer encoder)

openclimatefix / power_perceiver

Machine learning experiments using the Perceiver IO model to forecast the electricity system (starting with solar)

MIT License

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Closed JackKelly closed 2 years ago

JackKelly commented 2 years ago

Like the Temporal Fusion Transformer I built for ESO demand forecasting.

[x] "history encoder" RNN gets actual history and predictions from "satellite transformer".
[x] "future decoder" RNN gets initial state from "history encoder".
[x] And at each timestep, it gets prediction from "satellite transformer".
[ ] At all timesteps, it gets NWPs
[x] The output of both RNNs go into the "time transformer".