ELECTRICAL LOAD FORECASTING ON HIERARCHICAL LEVELS OF IPS OF UKRAINE USING LSTM NEURAL NETWORK
The scientific research presents the results of a study of one-factor forecasting of the total electrical load at three hierarchical 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...
Збережено в:
Видавець: | Інститут електродинаміки Національної академії наук України |
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Дата: | 2021 |
Автори: | , |
Формат: | Стаття |
Мова: | Ukrainian |
Опубліковано: |
Інститут електродинаміки Національної академії наук України
2021
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Теми: | |
Онлайн доступ: | https://prc.ied.org.ua/index.php/proceedings/article/view/34 |
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Організація
Proceedings of the Institute of Electrodynamics of the National Academy of Sciences of UkraineРезюме: | The scientific research presents the results of a study of one-factor forecasting of the total electrical load at three hierarchical 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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