 | Tomasz Jasiński, PhD, Eng.
Division of Economics and Finance Institute of Management, Faculty of Organization and Management Lodz University of Technology, Poland E-mail: tomasz.jasinski@p.lodz.pl Orcid: 0000-0001-9367-0086 Scopus: 55976367700 Researchgate: Tomasz_Jasinski2 |
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Selected publications | |||
|---|---|---|---|
| No. | Author(s) | Title and journal/conference name | DOI/link
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| 2025 | |||
| 1. | T. Jasiński | A Review of Recent Trends in Electricity Price Forecasting Using Deep Learning Techniques. Energies, 18(24), 6422 | DOI:10.3390/ en18246422 |
| 2. | T. Jasiński | Prognozowanie szeregów czasowych za pomocą głęboko uczonych sztucznych sieci neuronowych na przykładzie rynku energii elektrycznej. Monografia interdyscyplinarna. Badania i innowacje w naukach inżynieryjno-technicznych, ścisłych i przyrodniczych oraz społecznych. Wydawnictwo Politechnniki Łódzkiej, 719‒743
(Time Series Forecasting Using Deep Learning Artificial Neural Networks on the Example of the Electricity Market. Interdisciplinary Monography. Research and Innovation in Engineering, Technology, Exact and Natural Sciences, and Social Sciences. Lodz University of Technology Press, 719‒743) | DOI:10.34658/ 9788367934886.w8.4.719-743 |
| 2022 | |||
| 3. | T. Jasiński | A new approach to modeling cycles with summer and winter demand peaks as input variables for deep neural networks. Renewable and Sustainable Energy Reviews, 159, 112217 | DOI:10.1016/ j.rser.2022.112217 |
| 2020 | |||
| 4. | T. Jasiński | Use of new variables based on air temperature for forecasting day-ahead spot electricity prices using deep neural networks: A new approach. Energy, 213, 118784 | DOI:10.1016/ j.energy.2020.118784 |
| 5. | Z. Leszczyński T. Jasiński | Comparison of product life cycle cost estimating models based on neural networks and parametric techniques―a case study for induction motors. Sustainability, 12(20), 8353 | DOI:10.3390/ su12208353 |
| 6. | T. Jasiński | Modelling the disaggregated demand for electricity in residential buildings using artificial neural networks (Deep learning approach). Energies, 13(5), 1263 | DOI:10.3390/ en13051263 |
| 7. | Z. Leszczyński T. Jasiński | Artificial Neural Networks in Forecasting Cancer Therapy Methods and Costs of Cancer Patient Treatment. Case Study for Breast Cancer. Advances in Intelligent Systems and Computing, 1052, 111‒120 | DOI:10.1007/978-3- 030-30443-0_10 |
| 2019 | |||
| 8. | T. Jasiński | Modeling electricity consumption using nighttime light images and artificial neural networks. Energy, 179, 831‒842 Accepted manuscript (under the CC-BY-NC-ND license) can be DOWNLOADED*. | DOI:10.1016/ j.energy.2019.04.221 |
| 9. | T. Jasiński A. Bochenek | Modelling of arrears in payments for dwelling using artificial neural networks. Business Informatics, 2(52), 58‒68 | DOI:10.15611/ ie.2019.2.04 |
| 2018 | |||
| 10. | T. Jasiński | Modelling of electricity demand in residential buildings using artificial neural networks. E3S Web of Conferences, 49, 00048 | DOI:10.1051/ e3sconf/20184900048 |
| 11. | T. Jasiński A. Bochenek | Predicting changes in spatial planning using artificial neural networks on the basis of satellite images: examples of selected cities in Lodz agglomeration (Poland). The poceedings of PLEA 2018, 1, 212‒217 | Link (researchgate) |
| 2017 | |||
| 12. | T. Jasiński | Prediction of electricity demand with artificial neural networks - An example of the Ontario province in Canada and the Italian market. The poceedings of PLEA 2017, 1, 1414‒1421 | Link (researchgate) |
| 13. | Z. Leszczyński T. Jasiński | Użyteczność modeli parametrycznych i sztucznych sieci neuronowych w prognozowaniu kosztów produkcji. Zeszyty Teoretyczne Rachunkowości, 91(147), 87‒112 (The usefulness of parametric models and artificial neural networks in the estimation of production costs. Theoretical Journal of Accounting, 91(147), 87‒112) | DOI:10.5604/ 01.3001.0009.8025 |
| * ― in accordance with the journal and publisher rules the accepted manuscript can be shared via a personal website (for more details see the journal and publisher's policy); please note that the content of the accepted manuscript may slightly differ from the version published in the journal. | |||
| Books/Monographs | |||
|---|---|---|---|
| No. | Front cover | Editor(s)/Chapter authors | Title and publisher |
| 2020 | |||
| 1. |  | T. Jasiński (ed.) Z. Leszczyński R. Kowalak T. Jasiński W. Luciński D. Siudak | Wykorzystanie wybranych narzędzi zarządzania w praktyce gospodarczej (Use of selected management tools in business practice) Lodz University of Technology, ISBN 978-83-66287-17-4 |
| 2016 | |||
| 2. |  | T. Jasiński A. Marszal A. Bochenek | Wybrane zastosowania sztucznych sieci neuronowych na rynku walutowym, rynku terminowym i w gospodarce przestrzennej (Selected applications of artificial neural networks in the currency market, futures market and in spatial economy) Lodz University of Technology, ISBN 978-83-7283-816-2, URI:hdl.handle.net/11652/1472 |
| 2015 | |||
| 3. |  | Z. Leszczyński T. Jasiński | Inżynieria kosztów (Cost engineering) ODDK, ISBN 978-83-7804-249-5 |
| 2008 | |||
| 4. |  | A.T. Szablewski (ed.) T. Jasiński (ed.) A.T. Szablewski M. Martin A. Woźniak I. Wojciechowska-Toruńska W. Luciński Z. Przybysz T. Jasiński Z. Leszczyński B. Pomykalska | Different dimensions of microeconomic competitiveness Lodz University of Technology, ISBN 978-83-7283-280-1, URI:hdl.handle.net/11652/2009 |
