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Library/ Deep Learning/ Module 4 · Project 3: Electricity Demand Forecasting (time series with RNN/LSTM)/ 4.2 Prepare the sequence data

subtopic

Time split and scaling

10 min applied10 min research2 curated resources

Load your cleaned EDA dataset. Split by time, never randomly: train 2015–2017, validation Jan–Jun 2018, test Jul–Dec 2018. Scale features with a scaler fitted on train only, and save the scaler (the app needs it).

Builds on: E09 · Build: Time-Based EDA (Project B focus), E13 · Build: Training-Ready Dataset Hand-off

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Time split and scaling · 1x1labs.ai