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Tomasz Jasiński

Lodz University of Technology

Poland

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Research Interests

Climatology

20%

Meteorology

20%

Demand Modeling

20%

Energy Economics

20%

Forecasting

20%

Artificial Neural Network

20%

Temperature Physics

10%

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Articles5

A new approach to modeling cycles with summer and winter demand peaks as input variables for deep neural networks

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Year:

2022

Use of new variables based on air temperature for forecasting day-ahead spot electricity prices using deep neural networks: a new approach

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Year:

2020

Comparison of Product Life Cycle Cost Estimating Models Based on Neural Networks and Parametric Techniques—A Case Study for Induction Motors

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Year:

2020

Modelling the Disaggregated Demand for Electricity in Residential Buildings Using Artificial Neural Networks (Deep Learning Approach)

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Year:

2020

Modelling of arrears in payments for dwelling using artificial neural networks

Article Link

Year:

2020

Collaborators1

Zbigniew Leszczyński

Lodz University of Technology

POLAND

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