Oluwaseun Afolabi

You can explore the following resources to get started with multivariate time series forecasting:

• https://github.com/danielhkt/deep-forecasting
• https://www.geeksforgeeks.org/multivariate-time-series-forecasting-with-lstms-in-keras/
• https://machinelearningmastery.com/multivariate-time-series-forecasting-lstms-keras/
• Multivariate Probabilistic Time Series Forecasting with Informer (huggingface.co)
• GitHub - Yield Prediction Using Deep Learning on Multivariate Time Series Data: https://github.com/tryambakganguly/Yield-Prediction-Temporal-Attention

Do it with MATLAB. A few line of code will resolve it.

If you want to use python you can find several example in an official documentation of commonly used libraries. For example:

• Keras (TensorFlow): https://keras.io/examples/timeseries/
• TensorFlow: https://www.tensorflow.org/tutorials/structured_data/time_series

Or you can seek for example in Kaggle, for example:

• Torch https://www.kaggle.com/code/aneridalwadi/time-series-with-pytorch