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Faculty of Electrical Engineering

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dr hab. inż. Michał Jasiński

Email: michal.jasinski@pwr.edu.pl

Structure: Faculty of Electrical Engineering » Department of Electrical Engineering Fundamentals

Pl. Grunwaldzki 13, Wroclaw
building D-1, room 120
phone: +48 71 320 20 22

Office hours

please contact me by email or check ( https://weny.pwr.edu.pl/studenci/konsultacje/pracownikow-katedry-w5-k38 )

Research interests

energy systems, power quality. distributed generation. microgrids & virtual power plants. data mining.

Profiles:

Scopus: https://www.scopus.com/authid/detail.uri?authorId=57213717688

Publons: https://publons.com/researcher/1798717/michal-jasinski/

ResearchGate: https://www.researchgate.net/profile/Michal_Jasinski4

Google Scholar: https://scholar.google.pl/citations?user=L-YZGAQAAAAJ&hl=pl

ORCID: https://orcid.org/0000-0002-0983-2562

Editor in journals:

Associate Editor - Network: Computation in Neural Systems (Impact Factor : 7.8) https://www.tandfonline.com/action/journalInformation?show=editorialBoard&journalCode=inet20

Energies - SI Machine Learning and Data Mining Applications in Power and Multi-Energy Systems" https://www.mdpi.com/journal/energies/special_issues/Machine_Learning_Multi_Energy

Sustainability - SI " Raising Power Energy from Distributed Renewable Sources"
https://www.mdpi.com/journal/sustainability/special_issues/RPE_DRS

Recent papers:
DONA databse

Selected publications

Artykuł

2026

Kacper Książek, Małgorzata Przybyła-Kasperek, Michał M Jasiński

Solar irradiance forecasting for photovoltaic systems using a hybrid physical and deep learning approach. IEEE Transactions on Industry Applications. 2026, s. 1-11. ISSN: 0093-9994; 1939-9367
Zasoby:DOI URL

Referat konferencyjny

2025

Michał M Jasiński Elżbieta Jasińska Miroslava Goňo, Marek Jasiński, RadomÍr Goňo Luigi Martirano,

Xai to support K-Mean algorithm for analysis of real evs charging station data. W: 25th IEEE International Conference on Environment and Electrical Engineering and 2025 IEEE Industrial and Commercial Power Systems Europe : (EEEIC 2025 & I&CPS) : 15-18 July 2025, Chania, Crete-Greece : conference proceedings / eds. Zbigniew Leonowicz, Erika Stracqualursi and Michał Jasiński. Danvers, MA : IEEE, cop. 2025. s. 1-4. ISBN: 979-8-3315-9516-6; 979-8-3315-9515-9

Zasoby:DOI URL

Referat konferencyjny

2025

Cagdas Karakus Michał M Jasiński Marek Leonowicz

An analysis of data quality and time resolution in clustering based on polish prosumer real world data. W: 25th IEEE International Conference on Environment and Electrical Engineering and 2025 IEEE Industrial and Commercial Power Systems Europe : (EEEIC 2025 & I&CPS) : 15-18 July 2025, Chania, Crete-Greece : conference proceedings / eds. Zbigniew Leonowicz, Erika Stracqualursi and Michał Jasiński. Danvers, MA : IEEE, cop. 2025. s. 1-8. ISBN: 979-8-3315-9516-6; 979-8-3315-9515-9

Zasoby:DOI URL

Referat konferencyjny

2025

Daniel Kocur, Michał M Jasiński Riccardo Loggia, Luigi Martirano,

K-Means clustering for identification of household energy utilization and production. W: 25th IEEE International Conference on Environment and Electrical Engineering ; 09th I&CPS Industrial and Commercial Power Systems Europe : (EEEIC 2025 & I&CPS) : 15-18 July 2025, Chania, Crete-Greece : conference proceedings / eds. Zbigniew Leonowicz, Erika Stracqualursi and Michał Jasiński. Danvers, MA : IEEE, cop. 2025. s. 1-6. ISBN: 979-8-3315-9516-6; 979-8-3315-9515-9

Zasoby:DOI URL

Redakcja materiałów konferencyjnych

2025

Marek Leonowicz Erika Stracqualursi, Michał M Jasiński

25th IEEE International Conference on Environment and Electrical Engineering and 2025 IEEE Industrial and Commercial Power Systems Europe : (EEEIC 2025 & I&CPS) : 15-18 July 2025, Chania, Crete-Greece : conference proceedings. Danvers MA: IEEE, cop. 2025. xxx s. ISBN: 979-8-3315-9516-6; 979-8-3315-9515-9
Zasoby:URL

Artykuł

2025

Sk Mahmudul Hassan, Keshab Nath, Michał M Jasiński Arnab Kumar Maji,

AI-driven plant disease detection with tailored convolutional neural network. Network-Computation in Neural Systems. 2025, s. 1-26. ISSN: 0954-898X; 1361-6536
Zasoby:DOI URL

Referat konferencyjny

2025

Riccardo Loggia, Roberto Menichelli, Alessandro Flamini, Alessandro Galasso, Andrea Massaccesi, Cristina Moscatiello, Michał M Jasiński Luigi Martirano,

A Monitoring platform tool for energy communities optimization and AI applications. W: 2025 IEEE/IAS 61st Industrial and Commercial Power Systems Technical Conference (I&CPS), 11-14 May, Montreal, Canada. Danvers, MA : IEEE, cop. 2025. s. 1-6. ISBN: 979-8-3315-0808-1; 979-8-3315-0809-8
Zasoby:DOI

Artykuł

2025

Khuong Nguyen-Vinh, Surender Rangaraju, Michał M Jasiński

Mod Tanh-Activated Physical Neural Network MPPT control algorithm for varying irradiance conditions. Energy Science & Engineering. 2025, vol. 13, nr 6, s. 2606-2619. ISSN: 2050-0505; 2050-0505
Zasoby:DOI URL SFX

Artykuł

2025

Arsalan Najafi Kun Gao, Hua Wang, Michał M Jasiński Omkar Parishwad, Shaohua Cui, Xiaohan Liu,

Joint charging scheduling of electric buses and active power flexibility integration. Transportation Research. Part E: Logistics and Transportation Review. 2025, vol. 197, art. 104038, s. 1-20. ISSN: 1366-5545; 1878-5794
Zasoby:DOI URL SFX

Referat konferencyjny

2024

Kacper Książek, Małgorzata Przybyła-Kasperek, Michał M Jasiński

Optimization algorithm for solar irradiation prediction considering regional variability in Poland. W: 28th International Conference on Knowledge Based and Intelligent information and Engineering Systems (KES 2024) / ed. Jonathan Flearmoy. Amsterdam : Elsevier, cop. 2024. s. 4815-4824.
Zasoby:DOI URL SFX

Referat konferencyjny

2024

Kacper Książek, Małgorzata Przybyła-Kasperek, Michał M Jasiński

Hybrid system for solar irradiance forecasting in photovoltaic panels – case study for selected locations in Poland. W: 24th IEEE International Conference on Environment and Electrical Engineering ; 08th I&CPS Industrial and Commercial Power Systems Europe : (EEEIC 2024 & I&CPS) : 17-20 June 2024, Rome, Italy : conference proceedings /eds. Zbigniew Leonowicz and Erika Stracqualursi. Danvers, MA : IEEE, cop. 2024. s. 1-6. ISBN: 979-8-3503-5518-5

Zasoby:DOI URL

All employee publications