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Once we have the map of installed PV capacity in nowcasting_dataset (see issue openclimatefix/nowcasting_dataset#184), we need to figure out how best to encode this map.
Context
The map isn't a map of individual PV sites. Instead it's the PV capacity per LLSOA. Jamie says:
LSOAs vary in size. The biggest ones are in Scotland. The largest is ~1200 km2 !! The median size is 0.418 km2 though, so in general they're pretty small.
Possible Implementation
The simplest encoding is probably as a bitmap, at the same spatial resolution as the satellite imagery. Each row (pixel) of data would encode:
the amount of installed PV
An embedding of the LLSOA ID? (Maybe that's not required?)
The geographical position
The datetime encoding at t0? We can probably assume the installed PV capacity is static per ML example. So each example only needs a single map of installed PV capacity. But we probably do need to provide a datetime encoding, so the attention mechanism can see that the map is "close" to the other data modalities.
The text was updated successfully, but these errors were encountered:
Detailed Description
Once we have the map of installed PV capacity in
nowcasting_dataset
(see issue openclimatefix/nowcasting_dataset#184), we need to figure out how best to encode this map.Context
The map isn't a map of individual PV sites. Instead it's the PV capacity per LLSOA. Jamie says:
Possible Implementation
The simplest encoding is probably as a bitmap, at the same spatial resolution as the satellite imagery. Each row (pixel) of data would encode:
t0
? We can probably assume the installed PV capacity is static per ML example. So each example only needs a single map of installed PV capacity. But we probably do need to provide a datetime encoding, so the attention mechanism can see that the map is "close" to the other data modalities.The text was updated successfully, but these errors were encountered: