2
H index
0
i10 index
13
Citations
Politechnika Łódzka | 2 H index 0 i10 index 13 Citations RESEARCH PRODUCTION: 6 Articles 1 Papers RESEARCH ACTIVITY: 8 years (2014 - 2022). See details. MORE DETAILS IN: ABOUT THIS REPORT: Permalink: http://citec.repec.org/pja639 |
Works with: Authors registered in RePEc who have co-authored more than one work in the last five years with Tomasz Jasiński. | Is cited by: | Cites to: |
Year | Title of citing document |
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2024 | Chinas local-level monthly residential electricity power consumption monitoring. (2024). Xia, Lang ; Zhang, Zhe ; Niu, Muchuan ; Ruan, Jianhui ; Du, Mengbing ; Chen, Chuchu ; Qian, Shuangyue. In: Applied Energy. RePEc:eee:appene:v:359:y:2024:i:c:s0306261924000412. Full description at Econpapers || Download paper |
2024 | Wholesale electricity price forecasting by Quantile Regression and Kalman Filter method. (2024). Movahedi, Akram ; Amiri, Hossein ; Monjazeb, Mohammad Reza. In: Energy. RePEc:eee:energy:v:290:y:2024:i:c:s0360544223033194. Full description at Econpapers || Download paper |
2024 | How responsive are retail electricity prices to crude oil fluctuations in the US? Time-varying and asymmetric perspectives. (2024). Ye, Yong ; Luo, Keyu. In: Research in International Business and Finance. RePEc:eee:riibaf:v:69:y:2024:i:c:s0275531924000266. Full description at Econpapers || Download paper |
Year | Title | Type | Cited |
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2019 | Modeling electricity consumption using nighttime light images and artificial neural networks In: Energy. [Full Text][Citation analysis] | article | 7 |
2020 | Use of new variables based on air temperature for forecasting day-ahead spot electricity prices using deep neural networks: A new approach In: Energy. [Full Text][Citation analysis] | article | 6 |
2022 | A new approach to modeling cycles with summer and winter demand peaks as input variables for deep neural networks In: Renewable and Sustainable Energy Reviews. [Full Text][Citation analysis] | article | 0 |
2020 | Modelling the Disaggregated Demand for Electricity in Residential Buildings Using Artificial Neural Networks (Deep Learning Approach) In: Energies. [Full Text][Citation analysis] | article | 0 |
2020 | Comparison of Product Life Cycle Cost Estimating Models Based on Neural Networks and Parametric TechniquesâA Case Study for Induction Motors In: Sustainability. [Full Text][Citation analysis] | article | 0 |
2015 | SECURITY ASSESSMENT AND OPTIMIZATION OF ENERGY SUPPLY (NEURAL NETWORKS APPROACH) In: Oeconomia Copernicana. [Full Text][Citation analysis] | article | 0 |
2014 | Security Assessment and Optimization of Energy Supply In: Working Papers. [Full Text][Citation analysis] | paper | 0 |
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