Gavita Regunath and Dan Lantos give an overview of time series algorithms:
Time series forecasting is a data science task that is critical to a variety of activities within any business organisation. Time series forecasting is a useful tool that can help to understand how historical data influences the future. This is done by looking at past data, defining the patterns, and producing short or long-term predictions.
Click through for an overview, as well as ten examples of algorithms you can use for handling time series data.