Implementing Multi-step Time Series Forecasting with PyTorch Encoder-Decoder Architecture

Data Preparation The dataset originates from a Kaggle competition involving store item demand forecasting. It contains 5 years of sales data (2013-2017) for 50 items across 10 stores, requiring predictions for the next 3 months (January-March 2018). This represents a multi-step multivariate time series problem with 500 distinct time series to f ...

Posted on Wed, 03 Jun 2026 18:16:35 +0000 by nadeemshafi9

Building and Forecasting with ARIMA Models in MATLAB: A Practical Guide

Start by loading the data from an Excel file named data.xlsx containing a single numeric column Value. The code splits the series into an 80% training segment and reserves the remainder for testing. % Clear workspace and figures clc; clear; close all; % Control parameters forceManual = 1; % 1 = use fixed ARIMA(2,1,1); 0 = auto-order selec ...

Posted on Fri, 08 May 2026 02:06:49 +0000 by juschillinnow