Miha Cimperman and Klemen Kenda - Streaming data forecast analytics for industrial
September, 9th at 10:00 (MSC)
In the lecture, machine learning forecasting models in energy industry will be presented. The main domain problems of energy load forecasting in critical infrastructure will be explained with the emphasis on the usage in utilities and railways. Furthermore, the implementation of the modeling pipeline in a real-world scenario will be presented, where the focus will be on handling streaming data, heterogeneous sources data fusion, and deployment of forecasting models.