Svoboda, R., Kotik, V., & Platos, J. (2024). Data-driven multi-step energy consumption forecasting with complex seasonality patterns and exogenous variables: Model accuracy assessment in change point neighborhoods. Applied Soft Computing, 150, N.PAG-0. https://doi.org/10.1016/j.asoc.2023.111099

SVOBODA, Radek, KOTIK, Vojtech und PLATOS, Jan, 2024. Data-driven multi-step energy consumption forecasting with complex seasonality patterns and exogenous variables: Model accuracy assessment in change point neighborhoods. Applied Soft Computing. 1 Januar 2024. Vol. 150, , p. N.PAG-0. DOI 10.1016/j.asoc.2023.111099.

Svoboda, R., V. Kotik, und J. Platos. „Data-Driven Multi-Step Energy Consumption Forecasting With Complex Seasonality Patterns and Exogenous Variables: Model Accuracy Assessment in Change Point Neighborhoods.“. Applied Soft Computing, Bd. 150, Januar 2024, S. N.PAG-0, https://doi.org/10.1016/j.asoc.2023.111099.

Svoboda, Radek/Kotik, Vojtech/Platos, Jan: Data-driven multi-step energy consumption forecasting with complex seasonality patterns and exogenous variables: Model accuracy assessment in change point neighborhoods., Applied Soft Computing 2024, N.PAG-0.

Svoboda, R., Kotik, V. und Platos, J. (2024), „Data-driven multi-step energy consumption forecasting with complex seasonality patterns and exogenous variables: Model accuracy assessment in change point neighborhoods.“, Applied Soft Computing, Vol. 150, S. N.PAG-0.