recurrent

forecasting. Monitor model performance continuously. Case Studies and Applications Numerous utility companies and research institutions have reported success with RNN-based STLF models: National Grid: Implemented LSTM models for daily load forecast

create_dataset(sequence, n_steps): X, y = [], [] for i in range(len(sequence)): end_ix = i + n_steps if end_ix > len(sequence)-1: break seq_x = sequence[i:end_ix] seq_y = sequence[end_ix] X.append(seq_x) y.append(seq_y) return np.array(X), np.array(