Modeling of Seasonal Variations of Thermal Energy Production by an Electric Power Company based on Neural Network Technology
Abstract The paper considers the problem of modeling the dependence of the value of thermal energy production by an electric power company on the air temperature using neural network technology. As an example of an electric power company producing thermal energy, the Public Joint-Stock Company (PJSC...
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Online Access: | http://dx.doi.org/10.1088/1742-6596/2096/1/012112 https://iopscience.iop.org/article/10.1088/1742-6596/2096/1/012112 https://iopscience.iop.org/article/10.1088/1742-6596/2096/1/012112/pdf |
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crioppubl:10.1088/1742-6596/2096/1/012112 2024-06-02T08:15:52+00:00 Modeling of Seasonal Variations of Thermal Energy Production by an Electric Power Company based on Neural Network Technology Zhebsain, V V Erdniev, O P Zhebsain, T V 2021 http://dx.doi.org/10.1088/1742-6596/2096/1/012112 https://iopscience.iop.org/article/10.1088/1742-6596/2096/1/012112 https://iopscience.iop.org/article/10.1088/1742-6596/2096/1/012112/pdf unknown IOP Publishing http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining Journal of Physics: Conference Series volume 2096, issue 1, page 012112 ISSN 1742-6588 1742-6596 journal-article 2021 crioppubl https://doi.org/10.1088/1742-6596/2096/1/012112 2024-05-07T14:00:00Z Abstract The paper considers the problem of modeling the dependence of the value of thermal energy production by an electric power company on the air temperature using neural network technology. As an example of an electric power company producing thermal energy, the Public Joint-Stock Company (PJSC) Yakutskenergo. As consumers of thermal energy, organizations, enterprises and the population of the city of Yakutsk, are located at latitude 62 and characterized by a cold northern climate. The numerical experiments carried out in this paper have shown that the general trend of the temperature dependence of thermal energy production, observed empirically, is well described by a neural network Article in Journal/Newspaper Yakutsk IOP Publishing Yakutsk Journal of Physics: Conference Series 2096 1 012112 |
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Abstract The paper considers the problem of modeling the dependence of the value of thermal energy production by an electric power company on the air temperature using neural network technology. As an example of an electric power company producing thermal energy, the Public Joint-Stock Company (PJSC) Yakutskenergo. As consumers of thermal energy, organizations, enterprises and the population of the city of Yakutsk, are located at latitude 62 and characterized by a cold northern climate. The numerical experiments carried out in this paper have shown that the general trend of the temperature dependence of thermal energy production, observed empirically, is well described by a neural network |
format |
Article in Journal/Newspaper |
author |
Zhebsain, V V Erdniev, O P Zhebsain, T V |
spellingShingle |
Zhebsain, V V Erdniev, O P Zhebsain, T V Modeling of Seasonal Variations of Thermal Energy Production by an Electric Power Company based on Neural Network Technology |
author_facet |
Zhebsain, V V Erdniev, O P Zhebsain, T V |
author_sort |
Zhebsain, V V |
title |
Modeling of Seasonal Variations of Thermal Energy Production by an Electric Power Company based on Neural Network Technology |
title_short |
Modeling of Seasonal Variations of Thermal Energy Production by an Electric Power Company based on Neural Network Technology |
title_full |
Modeling of Seasonal Variations of Thermal Energy Production by an Electric Power Company based on Neural Network Technology |
title_fullStr |
Modeling of Seasonal Variations of Thermal Energy Production by an Electric Power Company based on Neural Network Technology |
title_full_unstemmed |
Modeling of Seasonal Variations of Thermal Energy Production by an Electric Power Company based on Neural Network Technology |
title_sort |
modeling of seasonal variations of thermal energy production by an electric power company based on neural network technology |
publisher |
IOP Publishing |
publishDate |
2021 |
url |
http://dx.doi.org/10.1088/1742-6596/2096/1/012112 https://iopscience.iop.org/article/10.1088/1742-6596/2096/1/012112 https://iopscience.iop.org/article/10.1088/1742-6596/2096/1/012112/pdf |
geographic |
Yakutsk |
geographic_facet |
Yakutsk |
genre |
Yakutsk |
genre_facet |
Yakutsk |
op_source |
Journal of Physics: Conference Series volume 2096, issue 1, page 012112 ISSN 1742-6588 1742-6596 |
op_rights |
http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining |
op_doi |
https://doi.org/10.1088/1742-6596/2096/1/012112 |
container_title |
Journal of Physics: Conference Series |
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2096 |
container_issue |
1 |
container_start_page |
012112 |
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1800740177346297856 |