| Wybrane publikacje |
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| 1 | Artykuł 2025
Fachrizal F Aksan, Vishnu S Suresh, Przemysław Janik,| PV generation prediction using multilayer perceptron and data clustering for energy management support. Energies. 2025, vol. 18, nr 6, art. 1378, s. 1-16. ISSN: 1996-1073 | | Zasoby:DOISFX |     |
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| 2 | Artykuł 2024
Fachrizal F Aksan, Vishnu S Suresh, Przemysław Janik,| Optimal capacity and charging scheduling of battery storage through forecasting of photovoltaic power production and electric vehicle charging demand with deep learning models. Energies. 2024, vol. 17, nr 11, art. 2718, s. 1-22. ISSN: 1996-1073 | | Zasoby:DOISFX | |
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| 3 | Referat konferencyjny 2023
Fachrizal F Aksan, Przemysław Janik, Klaus Pfeiffer, Vishnu S Suresh, Marek Leonowicz,| Prediction of regional PV power generation based on LSTM-CNN. W: 2023 IEEE Asia Meeting on Environment and Electrical Engineering (EEE-AM 2023) : 13-15 November 2023, Hanoi- Vietnam : conference proceedings / eds. Zbigniew Leonowicz and Erika Stracqualursi. Danvers, MA : IEEE, cop. 2023. s. 1-6. ISBN: 979-8-3503-8106-1 | | Zasoby:DOIURL | |
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| 4 | Referat konferencyjny 2023
Fachrizal F Aksan, Przemysław Janik, Vishnu S Suresh,| Multivariate multi-step forecasting for cable pooling applications. W: 2023 International Conference on Clean Electrical Power (ICCEP), Terrasini, Italy, 27-29 June 2023. Danvers, MA : IEEE, 2023. s. 237-244. ISBN: 979-8-3503-4837-8 | | Zasoby:DOIURL | |
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| 5 | Artykuł 2023
Fachrizal F Aksan, Vishnu S Suresh, Przemysław Janik, Tomasz Sikorski,| Load forecasting for the laser metal processing industry using VMD and hybrid deep learning models. Energies. 2023, vol. 16, nr 14, art. 5381, s. 1-24. ISSN: 1996-1073 | | Zasoby:DOIURLSFX | |
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| 6 | Artykuł 2023
Fachrizal F Aksan, Yang Li, Vishnu S Suresh, Przemysław Janik,| Multistep forecasting of power flow based on LSTM autoencoder: a study case in regional grid cluster proposal. Energies. 2023, vol. 16, nr 13, art. 5014, s. 1-20. ISSN: 1996-1073 | | Zasoby:DOIURLSFX | |
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| 7 | Artykuł 2023
Fachrizal F Aksan, Yang Li, Vishnu S Suresh, Przemysław Janik,| CNN-LSTM vs. LSTM-CNN to predict power flow direction: a case study of the high-voltage subnet of Northeast Germany. Sensors. 2023, vol. 23, nr 2, art. 901, s. 1-20. ISSN: 1424-8220 | | Zasoby:DOIURLSFX | |
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| 8 | Artykuł 2022
Vishnu S Suresh, Fachrizal F Aksan, Przemysław Janik, Tomasz Sikorski, B Sri Revathi,| Probabilistic LSTM-Autoencoder based hour-ahead solar power forecasting model for intra-day electricity market participation: A Polish case study. IEEE Access. 2022, vol. 10, s. 110628-110638. ISSN: 2169-3536 | | Zasoby:DOIURLSFX | |
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| 9 | Referat konferencyjny 2022
Fachrizal F Aksan, Przemysław Janik, Vishnu S Suresh, Marek Leonowicz,| Review of the application of deep learning for fault detection in wind turbine. W: 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) : 28 June - 1 July, 2022, Prague, Czech Republic : conference proceedings / ed. Zbigniew Leonowicz. Danvers, MA : IEEE, cop. 2022. s. 1-6. ISBN: 978-1-6654-8536-4; 978-1-6654-8537-1 | | Zasoby:DOI | |
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| 10 | Artykuł 2021
Fachrizal F Aksan, Michał M Jasiński, Tomasz Sikorski, Dominika N Kaczorowska, Jacek Rezmer, Vishnu S Suresh, Marek Leonowicz, Paweł Kostyła, Jarosław Szymańda, Przemysław Janik,| Clustering methods for power quality measurements in virtual power plant. Energies. 2021, vol. 14, nr 18, art. 5209, s. 1-20. ISSN: 1996-1073 | | Zasoby:DOIURLSFX | |
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