Details about Tomasz Jasiński
Access statistics for papers by Tomasz Jasiński.
Last updated 2022-04-04. Update your information in the RePEc Author Service.
Short-id: pja639
Jump to Journal Articles
Working Papers
2014
- Security Assessment and Optimization of Energy Supply
Working Papers, Institute of Economic Research 
Journal Articles
2022
- A new approach to modeling cycles with summer and winter demand peaks as input variables for deep neural networks
Renewable and Sustainable Energy Reviews, 2022, 159, (C)
2020
- Comparison of Product Life Cycle Cost Estimating Models Based on Neural Networks and Parametric Techniques—A Case Study for Induction Motors
Sustainability, 2020, 12, (20), 1-14 View citations (1)
- Modelling the Disaggregated Demand for Electricity in Residential Buildings Using Artificial Neural Networks (Deep Learning Approach)
Energies, 2020, 13, (5), 1-16
- Use of new variables based on air temperature for forecasting day-ahead spot electricity prices using deep neural networks: A new approach
Energy, 2020, 213, (C) View citations (8)
2019
- Modeling electricity consumption using nighttime light images and artificial neural networks
Energy, 2019, 179, (C), 831-842 View citations (8)
2015
- SECURITY ASSESSMENT AND OPTIMIZATION OF ENERGY SUPPLY (NEURAL NETWORKS APPROACH)
Oeconomia Copernicana, 2015, 6, (2), 129-141
|
The links between different versions of a paper are constructed automatically by matching on the titles.
Please contact if a link is incorrect.
Use this form
to add links between versions where the titles do not match.
|
EconPapers is hosted by the
School of Business at Örebro University.