Email: michal.jasinski@pwr.edu.pl

Jednostka: Wydział Elektryczny » Katedra Podstaw Elektrotechniki i Elektrotechnologii

pl. Grunwaldzki 13 
bud. D-1, pok. 120 
tel. 71 320 20 22

---

Konsultacje:

proszę sprawdzić na stronie Wydziału ( https://weny.pwr.edu.pl/studenci/konsultacje/pracownikow-katedry-w5-k38 ) lub skotntaktować się emailowo.

 

---

Zainteresowania naukowe

• systemy energetyczne, jakość energii elektrycznej, generacja rozproszona, mikrosieci i wirtualne elektrownie, eksploracja danych - data mining.
  
  

---

Profile naukowe:

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

 

---

Edytor w czasopismach:

Zastępca Redaktora - 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

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

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

 Electronics  - SI " Environment and Electrical Engineering-Edition 2021"
https://www.mdpi.com/journal/electronics/special_issues/eee_2021 

 

---

Najważniejsze publikacje z ostatnich lat
Baza DONA

---

Wybrane publikacje
1	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:DOIURL
2	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:DOIURL
3	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:DOIURL
4	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
5	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:DOIURL
6	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
7	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:DOIURLSFX
8	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:DOIURLSFX
9	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:DOIURLSFX
10	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:DOIURL

Wszystkie publikacje pracownika