Forecasting Time Series Data
Semester programme:
ICT & Open Learning/Innovation
Client company:OpenRemote
Project group members:
Stephen Fiers
Jerry Stevens
Mark Vrijhof
Project description
Creating a generic forecast for time series data in OpenRemote's platform.
Context
OpenRemote's clients have a lot of time series data that has clear patterns (such as parking data, or data from solar panels). Having a forecast on this data can help plan certain actions.
Results
The delivered products are a machine learning model and advice on the system architecture, together with a demo and an advisory report which contains follow up steps to fully implement the system.