Fig 1.
Architecture of N-Beats: Neural Basis Expansion Analysis for Interpretable Time Series Forecasting.
Table 1.
Definition of Various Symbols used for N-Beats Architecture.
Fig 2.
Multivariate time series dataset representing temperature, humidity, poultry feed and disease outbreaks.
Fig 3.
Stationarity using polynomial regression.
Fig 4.
Amplitude using fourier transform.
Fig 5.
Filtering of the data below a reference threshold.
Fig 6.
Filtering of the data below a reference threshold.
Fig 7.
Visualization of training and validation loss of various deep learning models.
Fig 8.
Visualization of Forecasting Accuracy of the employed Models on the Multivariate Poultry dataset.
Fig 9.
Visualization of N-beats model with the ground truth data.
Table 2.
Analysis of various Performance Metrics.
Fig 10.
Visualization of performance metrics of the employed models on the multivariate poultry dataset.