4 Strategies for Multi-Step Time Series Forecasting

Last Updated on August 21, 2019

Time series forecasting is typically discussed where only a one-step prediction is required.

What about when you need to predict multiple time steps into the future?

Predicting multiple time steps into the future is called multi-step time series forecasting. There are four main strategies that you can use for multi-step forecasting.

In this post, you will discover the four main strategies for multi-step time series forecasting.

After reading this post, you will know:

• The difference between one-step and multiple-step time series forecasts.
• The traditional direct and recursive strategies for multi-step forecasting.
• The newer direct-recursive hybrid and multiple output strategies for multi-step forecasting.

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• Update May/2018: Fixed typo in direct strategy example.

Multi-Step Forecasting

Generally, time series forecasting describes predicting the observation at the next time step.

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