Slawek Smyl

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 19

Top Topics

Exponential Smoothing

Load Forecasting

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Slawek Smyl, Boris N. Oreshkin, Pawel Pelka, Grzegorz Dudek
Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand. CoRR (2024)
Slawek Smyl, Grzegorz Dudek, Pawel Pelka
ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Slawek Smyl, Grzegorz Dudek, Pawel Pelka
Contextually enhanced ES-dRNN with dynamic attention for short-term load forecasting. Neural Networks 169 (2024)
Xueying Long, Daniel F. Schmidt, Christoph Bergmeir, Slawek Smyl
Fast Gibbs sampling for the local and global trend Bayesian exponential smoothing model. CoRR (2024)
Abishek Sriramulu, Christoph Bergmeir, Slawek Smyl
Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting. CoRR (2024)
Slawek Smyl, Christoph Bergmeir, Alexander Dokumentov, Erwin Wibowo, Daniel F. Schmidt
Local and Global Trend Bayesian Exponential Smoothing Models. CoRR (2023)
Slawek Smyl, Grzegorz Dudek, Pawel Pelka
Forecasting Cryptocurrency Prices Using Contextual ES-adRNN with Exogenous Variables. ICCS (1) (2023)
Grzegorz Dudek, Slawek Smyl, Pawel Pelka
Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study. CoRR (2022)
Slawek Smyl, Grzegorz Dudek, Pawel Pelka
Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load Forecasting. CoRR (2022)
Grzegorz Dudek, Pawel Pelka, Slawek Smyl
A Hybrid Residual Dilated LSTM and Exponential Smoothing Model for Midterm Electric Load Forecasting. IEEE Trans. Neural Networks Learn. Syst. 33 (7) (2022)
Slawek Smyl, Grzegorz Dudek, Pawel Pelka
ES-dRNN with Dynamic Attention for Short-Term Load Forecasting. CoRR (2022)
Slawek Smyl, Grzegorz Dudek, Pawel Pelka
ES-dRNN with Dynamic Attention for Short-Term Load Forecasting. IJCNN (2022)
Slawek Smyl, Grzegorz Dudek, Pawel Pelka
ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting. CoRR (2021)
Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir
Ensembles of localised models for time series forecasting. Knowl. Based Syst. 233 (2021)
Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir
Ensembles of Localised Models for Time Series Forecasting. CoRR (2020)
Grzegorz Dudek, Pawel Pelka, Slawek Smyl
A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting. CoRR (2020)
Kasun Bandara, Christoph Bergmeir, Slawek Smyl
Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach. Expert Syst. Appl. 140 (2020)
Grzegorz Dudek, Pawel Pelka, Slawek Smyl
3ETS+RD-LSTM: A New Hybrid Model for Electrical Energy Consumption Forecasting. ICONIP (3) (2020)
Kasun Bandara, Christoph Bergmeir, Slawek Smyl
Forecasting Across Time Series Databases using Long Short-Term Memory Networks on Groups of Similar Series. CoRR (2017)
Oliver Kennedy, Steve Lee, Charles Loboz, Slawek Smyl, Suman Nath
Fuzzy prophet: parameter exploration in uncertain enterprise scenarios. SIGMOD Conference (2011)
Charles Loboz, Slawek Smyl, Suman Nath
DataGarage: Warehousing Massive Performance Data on Commodity Servers. Proc. VLDB Endow. 3 (2) (2010)