Slawek Smyl

According to our database, Slawek Smyl authored at least 20 papers between 2010 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Any-quantile probabilistic forecasting of short-term electricity demand: Fusing uncertainties from diverse sources.

Slawek Smyl, Boris N. Oreshkin, Pawel Pelka, Grzegorz Dudek

Inf. Fusion, 2026

2025

Fast Gibbs sampling for the local-seasonal-global trend Bayesian exponential smoothing model.

Xueying Long, Daniel F. Schmidt, Christoph Bergmeir, Slawek Smyl

Stat. Comput., June, 2025

2024

ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting.

Slawek Smyl, Grzegorz Dudek, Pawel Pelka

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Contextually enhanced ES-dRNN with dynamic attention for short-term load forecasting.

Slawek Smyl, Grzegorz Dudek, Pawel Pelka

Neural Networks, January, 2024

Predicting Customer Lifetime Value Using Recurrent Neural Net.

Huigang Chen, Edwin Ng, Gavin Steininger, Slawek Smyl

CoRR, 2024

Fast Gibbs sampling for the local and global trend Bayesian exponential smoothing model.

Xueying Long, Daniel F. Schmidt, Christoph Bergmeir, Slawek Smyl

CoRR, 2024

Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting.

Abishek Sriramulu, Christoph Bergmeir, Slawek Smyl

CoRR, 2024

Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand.

Slawek Smyl, Boris N. Oreshkin, Pawel Pelka, Grzegorz Dudek

CoRR, 2024

2023

Local and Global Trend Bayesian Exponential Smoothing Models.

Slawek Smyl, Christoph Bergmeir, Alexander Dokumentov, Erwin Wibowo, Daniel F. Schmidt

CoRR, 2023

Forecasting Cryptocurrency Prices Using Contextual ES-adRNN with Exogenous Variables.

Slawek Smyl, Grzegorz Dudek, Pawel Pelka

Proceedings of the Computational Science - ICCS 2023, 2023

2022

A Hybrid Residual Dilated LSTM and Exponential Smoothing Model for Midterm Electric Load Forecasting.

Grzegorz Dudek, Pawel Pelka, Slawek Smyl

IEEE Trans. Neural Networks Learn. Syst., 2022

Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study.

Grzegorz Dudek, Slawek Smyl, Pawel Pelka

CoRR, 2022

ES-dRNN with Dynamic Attention for Short-Term Load Forecasting.

Slawek Smyl, Grzegorz Dudek, Pawel Pelka

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Ensembles of localised models for time series forecasting.

Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir

Knowl. Based Syst., 2021

2020

Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach.

Kasun Bandara, Christoph Bergmeir, Slawek Smyl

Expert Syst. Appl., 2020

A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting.

Grzegorz Dudek, Pawel Pelka, Slawek Smyl

CoRR, 2020

3ETS+RD-LSTM: A New Hybrid Model for Electrical Energy Consumption Forecasting.

Grzegorz Dudek, Pawel Pelka, Slawek Smyl

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2017

Forecasting Across Time Series Databases using Long Short-Term Memory Networks on Groups of Similar Series.

Kasun Bandara, Christoph Bergmeir, Slawek Smyl

CoRR, 2017

2011

Fuzzy prophet: parameter exploration in uncertain enterprise scenarios.

Oliver Kennedy, Steve Lee, Charles Loboz, Slawek Smyl, Suman Nath

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

2010

DataGarage: Warehousing Massive Performance Data on Commodity Servers.

Charles Loboz, Slawek Smyl, Suman Nath

Proc. VLDB Endow., 2010