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Faculty of Electrical Engineering

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mgr inż. Fachrizal Aksan

Email: fachrizal.aksan@pwr.edu.pl
Structure: Faculty of Electrical Engineering » Department of Electrical Engineering Fundamentals

pl. Grunwaldzki 13, 50-377 Wrocław
building D-1, room 205
phone  +48 71 320 3830

Selected publications
1
Artykuł
2025
Fachrizal F Aksan Anna M Pawlica Vishnu S Suresh Przemysław Janik
A comparative study of machine learning models for pv energy prediction in an energy community. Energies. 2025, vol. 18, nr 22, art. 5980, s. 1-17. ISSN: 1996-1073
Zasoby:DOISFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
2
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:DOISFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
3
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:DOISFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
4
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
5
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
6
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:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
7
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:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
8
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:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
9
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:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
10
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

All employee publications

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