Neural network technologies for forecasting and controlling electricity consumption in energy systems by the genetic method
The paper considers the neural network forecasting technologies in controlling power consumption in energy systems using the genetic method. It is proved that in order to implement the technological management system of a regional grid company, it is possible to use the technical and information pla...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tomsk Polytechnic University
2025-03-01
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| Series: | Известия Томского политехнического университета: Промышленная кибернетика |
| Subjects: | |
| Online Access: | https://indcyb.ru/journal/article/view/85/70 |
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