Create and deploy an interactive Energy Time Series Forecaster
Data Scientist, Elia Group
Thomas is a data scientist at Elia Group, focusing on developing forecasting solutions for the grid development and energy market teams in Belgium. He has a background in electrical engineering and intelligent mechanics.
In this workshop, we will show you how to build your own auto-Time Series forecaster with an interactive front-end dashboard. The focus will be on energy data, using open source data from Elia Group’s open data initiative. In particular, we will cover: - How time series problems differ from other ML problems - Open Source packages for training time series models - Building an interactive front-end app in Streamlit where users can upload a new time series and get the best prediction model - Deploying your app to the cloud