Model Type
Time Series Forecasting
Framework
TensorFlow Lite
Algorithm
Fully Connected Neural Network
Technical Details
This model uses a fully connected neural network to predict household electricity usage. It is trained on minute-resolution data spanning four years. Inputs are 120 time steps of 7 features, and the output is one step ahead prediction of Global_active_power. Designed for edge deployment using TensorFlow Lite.