ПРОГНОЗУВАННЯ ЕЛЕКТРИЧНОГО НАВАНТАЖЕННЯ НА ІЄРАРХІЧНИХ РІВНЯХ ОЕС УКРАЇНИ З ВИКОРИСТАННЯМ НЕЙРОННОЇ МЕРЕЖІ ТИПУ LSTM
The scientific research presents the results of a study of one-factor forecasting of the total electrical load at three hier-archical levels of the integrated power system (IPS) of Ukraine using artificial neural networks, such as LSTM. Based on research, forecasting errors at each hierarchical leve...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Institute of Electrodynamics of the National Academy of Sciences of Ukraine
2021-09-01
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| Series: | Праці Інституту електродинаміки Національної академії наук України |
| Subjects: | |
| Online Access: | https://prc.ied.org.ua/index.php/proceedings/article/view/34 |
| Summary: | The scientific research presents the results of a study of one-factor forecasting of the total electrical load at three hier-archical levels of the integrated power system (IPS) of Ukraine using artificial neural networks, such as LSTM. Based on research, forecasting errors at each hierarchical level of the power system were analyzed. Methods for improving the quality and stability of forecasts were proposed. The obtained results are the basis for the study of the assessment of the accuracy of forecasting the summary electrical load in the IPS of Ukraine. Ref. 9, fig. 4, table. |
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| ISSN: | 1727-9895 |