What Is Time Series Forecasting?

Imagine having the power to predict the future. From anticipating equipment failures to optimizing airline schedules, time series forecasting helps you uncover patterns in data, make predictions, and make more informed decisions.

In this demonstration, you will explore:

• How to prepare messy time series data
• Key challenges such as missing values, trends, and seasonality
• Signal processing with wavelets for complex patterns
• Statistical methods such as regression and ARIMA
• Machine learning techniques such as support vector regression
• Deep learning methods such as LSTMs and transformers

No single approach works for every scenario. Throughout the demonstration, guidance is provided on what forecasting methods might work for your data. You’ll also learn about tools in MATLAB^® that make it easy to experiment with different forecasting techniques.