2
H index
0
i10 index
16
Citations
Politechnika Łódzka | 2 H index 0 i10 index 16 Citations RESEARCH PRODUCTION: 6 Articles 1 Papers RESEARCH ACTIVITY:
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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 |
|---|---|
| 2024 | Chinas local-level monthly residential electricity power consumption monitoring. (2024). Niu, Muchuan ; Du, Mengbing ; Zhang, LI ; Xia, Lang ; Ruan, Jianhui ; Chen, Chuchu ; Qian, Shuangyue. In: Applied Energy. RePEc:eee:appene:v:359:y:2024:i:c:s0306261924000412. Full description at Econpapers || Download paper |
| 2024 | Weather conditions, climate change, and the price of electricity. (2024). Uribe, Jorge ; Mosquera-López, Stephania ; Joaqui-Barandica, Orlando ; Mosquera-Lopez, Stephania. In: Energy Economics. RePEc:eee:eneeco:v:137:y:2024:i:c:s0140988324004973. Full description at Econpapers || Download paper |
| 2024 | Wholesale electricity price forecasting by Quantile Regression and Kalman Filter method. (2024). Monjazeb, Mohammadreza ; Amiri, Hossein ; Movahedi, Akram. In: Energy. RePEc:eee:energy:v:290:y:2024:i:c:s0360544223033194. Full description at Econpapers || Download paper |
| 2024 | Modeling the spatiotemporal dynamics of electric power consumption in China from 2000 to 2020 based on multisource remote sensing data and machine learning. (2024). He, Chunyang ; Zhang, Xiwen ; Lu, Wenlu. In: Energy. RePEc:eee:energy:v:308:y:2024:i:c:s0360544224027452. 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 |
| 2025 | Integrating Sustainability and Industry 4.0: A Framework for Sustainable Logistics 4.0. (2025). Wu, Jing ; Pandey, Shatrudhan ; Gallab, Maryam ; di Nardo, Mario ; Murino, Teresa. In: Circular Economy and Sustainability. RePEc:spr:circec:v:5:y:2025:i:3:d:10.1007_s43615-024-00492-1. Full description at Econpapers || Download paper |
| Year | Title | Type | Cited |
|---|---|---|---|
| 2019 | Modeling electricity consumption using nighttime light images and artificial neural networks In: Energy. [Full Text][Citation analysis] | article | 8 |
| 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 | 7 |
| 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 | 1 |
| 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 |
CitEc is a RePEc service, providing citation data for Economics since 2001. Last updated December, 22 2025. Contact: CitEc Team