Marysia Winkels, James HaywardTime Series
From inventory to website visitors, resource planning to financial data, time-series data is all around us. Knowing what comes next is key to success in this dynamically changing world. So join us and learn about time series analysis and seasonality modelling.
T-BergerNeural Networks / Deep Learning, Simulation, Time Series
Illia BabounikauStatistics, Time Series
Established forecast evaluation procedures often turn out to be inappropriate and biased for modern time series forecasting. I will present the number of forecast evaluations issues and resolutions based on the real use cases of demand forecasting developed within BlueYonder.
Tobias HoinkaPredictive Modelling, Statistics, Time Series
This talk will describe predictive modeling applications in wind turbine maintenance, the challenges of anomaly detection and ways to move to more automatic diagnoses by modeling past documented defects.
sktime - python toolbox for time series: advanced forecasting - probabilistic, global and hierarchical
Franz KiralyAlgorithms, Predictive Modelling, Time Series
The forecasting module of sktime provides a unified, sklearn-compatible, and composable interface. This tutorial covers advanced topics in forecasting using sktime: probabilistic forecasting, and forecasting with panel data, including global/hierarchical forecasting.