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2020 – today
- 2024
[j6]Slawek Smyl, Grzegorz Dudek
, Pawel Pelka:
Contextually enhanced ES-dRNN with dynamic attention for short-term load forecasting. Neural Networks 169: 660-672 (2024)- [j5]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): 11346-11358 (2024) - [i11]Slawek Smyl, Boris N. Oreshkin, Pawel Pelka, Grzegorz Dudek:
Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand. CoRR abs/2404.17451 (2024) - [i10]Abishek Sriramulu, Christoph Bergmeir, Slawek Smyl:
Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting. CoRR abs/2405.07117 (2024) - [i9]Xueying Long, Daniel F. Schmidt, Christoph Bergmeir, Slawek Smyl:
Fast Gibbs sampling for the local and global trend Bayesian exponential smoothing model. CoRR abs/2407.00492 (2024) - 2023
- [c4]Slawek Smyl, Grzegorz Dudek, Pawel Pelka:
Forecasting Cryptocurrency Prices Using Contextual ES-adRNN with Exogenous Variables. ICCS (1) 2023: 450-464 - [i8]Slawek Smyl, Christoph Bergmeir, Alexander Dokumentov, Erwin Wibowo, Daniel F. Schmidt:
Local and Global Trend Bayesian Exponential Smoothing Models. CoRR abs/2309.13950 (2023) - 2022
- [j4]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): 2879-2891 (2022) - [c3]Slawek Smyl, Grzegorz Dudek, Pawel Pelka:
ES-dRNN with Dynamic Attention for Short-Term Load Forecasting. IJCNN 2022: 1-8 - [i7]Slawek Smyl, Grzegorz Dudek, Pawel Pelka:
ES-dRNN with Dynamic Attention for Short-Term Load Forecasting. CoRR abs/2203.00937 (2022) - [i6]Grzegorz Dudek, Slawek Smyl, Pawel Pelka:
Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study. CoRR abs/2203.09170 (2022) - [i5]Slawek Smyl, Grzegorz Dudek, Pawel Pelka:
Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load Forecasting. CoRR abs/2212.09030 (2022) - 2021
- [j3]Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir:
Ensembles of localised models for time series forecasting. Knowl. Based Syst. 233: 107518 (2021) - [i4]Slawek Smyl, Grzegorz Dudek, Pawel Pelka:
ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting. CoRR abs/2112.02663 (2021) - 2020
- [j2]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) - [c2]Grzegorz Dudek, Pawel Pelka, Slawek Smyl:
3ETS+RD-LSTM: A New Hybrid Model for Electrical Energy Consumption Forecasting. ICONIP (3) 2020: 519-531 - [i3]Grzegorz Dudek, Pawel Pelka, Slawek Smyl:
A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting. CoRR abs/2004.00508 (2020) - [i2]Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir:
Ensembles of Localised Models for Time Series Forecasting. CoRR abs/2012.15059 (2020)
2010 – 2019
- 2017
- [i1]Kasun Bandara, Christoph Bergmeir, Slawek Smyl:
Forecasting Across Time Series Databases using Long Short-Term Memory Networks on Groups of Similar Series. CoRR abs/1710.03222 (2017) - 2011
- [c1]Oliver Kennedy, Steve Lee, Charles Loboz, Slawek Smyl, Suman Nath:
Fuzzy prophet: parameter exploration in uncertain enterprise scenarios. SIGMOD Conference 2011: 1303-1306 - 2010
- [j1]Charles Loboz, Slawek Smyl, Suman Nath:
DataGarage: Warehousing Massive Performance Data on Commodity Servers. Proc. VLDB Endow. 3(2): 1447-1458 (2010)
Coauthor Index
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