dr inż. Vishnu Suresh

Email: vishnu.suresh@pwr.edu.pl

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

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I am an Assistant Professor at the Department of Electrical Engineering Fundamentals and Electrotechnology, Wrocław University of Science and Technology. My research focuses on forecasting and decision-making for renewable energy and power systems. I combine machine learning with uncertainty quantification, optimisation and real operating data.

Research areas

• Probabilistic forecasting and uncertainty quantification for solar PV, wind power and electrical load
• Deep-learning forecasting using LSTM, Transformer, PatchTST and state-space models
• Microgrid and energy-community management, energy-storage scheduling and ancillary services
• Electric-vehicle charging and optimisation in distribution systems
• Solar-farm site selection using GIS, multicriteria decision-making and machine learning

Current research projects

BalSun, DAINA 3 programme, National Science Centre, Poland, project leader, 2025-2028. The project develops methods for selecting solar-farm locations by combining GIS, multicriteria decision-making and machine learning.

FlexBIT, Clean Energy Transition Partnership, co-investigator and forecasting team leader, 2024-2027. The project studies flexibility and interoperability in energy systems, including forecasting methods for their operation.

Selected completed projects

MINIATURA 6, National Science Centre, Poland, project leader, 2022-2023. The project concerned real-time verification of an energy-management system for a microgrid with renewable generation and energy storage.

MESH4U, ERA-Net Smart Energy Systems, forecasting team leader, 2020-2023. The work included photovoltaic forecasting methods used in an industrial energy-storage demonstrator.

Virtual Power Plant, Wrocław University of Science and Technology and TAURON Ekoenergia, co-investigator, 2018-2020.

Research software

• Transformer variants and PatchTST for hour-ahead photovoltaic-power forecasting
• Model-agnostic adaptive conformal inference for probabilistic photovoltaic-power forecasting

International collaboration

My international experience includes research stays at the Center for Research on Microgrids, Aalborg University, work as an Adjunct Professor at VIT Chennai, and teaching and joint research with the University of Palermo.

Recognition

Recipient of the 2026 Scholarship of the Minister of Science and Higher Education for Outstanding Young Scientists and multiple Secundus distinctions at Wrocław University of Science and Technology.

Research profiles and publications

Google Scholar | ORCID | Scopus | GitHub | Publications in the DONA database

Office: Building D-1, room 205/5.

Selected publications
1	Artykuł 2026 Sylwia Baluta Vishnu S Suresh Milena Chmielowska, Lien Smeesters, Joanna Cabaj Improving clinical diagnostics and patient care through artificial intelligence and biosensor technologies. ACS Omega. 2026, vol. 11, nr 1, s. 82-99. ISSN: 2470-1343; 2470-1343 Zasoby:DOISFX
2	Artykuł 2026 Chandransh Singh, Sreenu Sreekumar, G Dileep, Vishnu S Suresh Rahul Satheesh, A robust decomposition-denoising deep learning framework with dynamic intraperiod ramping for cost-effective balancing market operation. Applied Soft Computing. 2026, vol. 195, art. 115049, s. 1-49. ISSN: 1568-4946; 1872-9681 Zasoby:DOISFX
3	Artykuł 2026 Vishnu S Suresh Model-agnostic, probabilistic, hour-ahead solar PV forecasting using adaptive conformal inference. Energies. 2026, vol. 19, nr 6, art. 1495, s. 1-24. ISSN: 1996-1073 Zasoby:DOISFX
4	Artykuł 2026 Vishnu S Suresh Josep M Guerrero, A non-parametric adaptive conformal inference based probabilistic hour-ahead solar PV power forecasting method. Scientific Reports. 2026, vol. 16, art. 11730, s. 1-14. ISSN: 2045-2322 Zasoby:DOISFX
5	Artykuł 2026 Kalsoom Bano Vishnu S Suresh Francesco Montana, Przemysław Janik Comparative evaluation of deep-learning and SARIMA models for short-term residential PV power forecasting. Energies. 2026, vol. 19, nr 8, art. 1991, s. 1-26. ISSN: 1996-1073 Zasoby:DOIURLSFX
6	Referat konferencyjny 2025 Vishnu S Suresh Tomasz Sikorski Gaetano Zizzo, Pierluigi Gallo, Hour-Ahead load forecasting for flexibility management in energy communities. 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. 1-5. ISBN: 979-8-3315-9516-6; 979-8-3315-9515-9 Zasoby:DOIURL
7	Artykuł 2025 Kalsoom Bano Vishnu S Suresh Przemysław Janik Comparative analysis of deep learning approaches for short-term solar PV power prediction = Analiza porównawcza metod głębokiego uczenia dla krótkookresowego prognozowania mocy instalacji. Przegląd Elektrotechniczny. 2025, R. 101, nr 10, s. 259-267. ISSN: 0033-2097; 2449-9544 Zasoby:DOI
8	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:DOISFX
9	Artykuł 2025 Vishnu S Suresh Benchmarking transformer variants for hour-ahead PV Forecasting: PatchTST with adaptive conformal inference. Energies. 2025, vol. 18, nr 18, art. 5000, s. 1-26. ISSN: 1996-1073 Zasoby:DOIURLSFX
10	Artykuł 2025 Vishnu S Suresh Anshuman Swain, Josep M Guerrero, Mamba based adaptive conformal inference for probabilistic short-term load forecasting. Knowledge-Based Systems. 2025, vol. 328, art. 114222, s. 1-14. ISSN: 0950-7051; 1872-7409 Zasoby:DOIURLSFX
11	Artykuł 2025 Keerthana Sivamayilvelan, Elakkiya Rajasekar, Santhi Balachandran, Vishnu S Suresh Building explainable artificial intelligence for reinforcement learning based debt collection recommender system using large language models. Engineering Applications of Artificial Intelligence. 2025, vol. 159, part A, art. 111622, s. 1-13. ISSN: 0952-1976; 1873-6769 Zasoby:DOIURLSFX
12	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
13	Artykuł 2025 Anushalini Thiyagarajan, Vishnu S Suresh A deep learning model using transformer network and expert optimizer for an hour ahead wind power forecasting. IEEE Access. 2025, vol. 13, s. 33935-33955. ISSN: 2169-3536 Zasoby:DOIURLSFX
14	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

All employee publications