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View Code? Open in Web Editor NEWElectricity load forecasting with LSTM (Recurrent Neural Network)
License: MIT License
Electricity load forecasting with LSTM (Recurrent Neural Network)
License: MIT License
Thanks so much for sharing.
I have a really basic question. What are the "weather_i" variables are they dummy variables or prehaps some other weather observation type supplementing the temperature data?
Thanks
samebohon
Hi dafrie,
I thanks for your code, and your operations for datasets is helpful for me.
But I am very confused for timesteps=[1], why?
if timesteps=[1], the RNN only is usual MLP.
Hi
This is excellent code - many thanks as it aligns with some research I am doing and also helps with my Python.
I have a query regarding the scaling. Am I correct that this code is including the test data in the scaling fit? Should the test set be excluded from that process? That is, should the data not be sploit into train/test prior to fit_transform on train and transform only on test?
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