Time Series Session List
(Serious) Time for Time Series
Marysia Winkels, James Hayward
Time SeriesFrom 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.
Financial Portfolio Management with Deep Reinforcement Learning
T-Berger
Neural Networks / Deep Learning, Simulation, Time Seriesintelligent_portfolio_optimization_with_deep_reinforcement_learning
My forecast is better than yours! What does that even mean?
Illia Babounikau
Statistics, Time SeriesEstablished 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.
Predictive Maintenance and Anomaly Detection for Wind Energy
Tobias Hoinka
Predictive Modelling, Statistics, Time SeriesThis 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 Kiraly
Algorithms, Predictive Modelling, Time SeriesThe 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.
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