Usage of artificial neural networks in the energy sector
The work covers non-traditional methods of forecasting, in particular, methods using artificial neural networks. The article considers such vital moments as: neural network configuration, normalization of input data, also random factors which have influence on the accuracy of load forecasts, are tak...
Збережено в:
| Дата: | 2016 |
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| Автор: | |
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Інститут проблем штучного інтелекту МОН України та НАН України
2016
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| Назва видання: | Штучний інтелект |
| Теми: | |
| Онлайн доступ: | http://dspace.nbuv.gov.ua/handle/123456789/132091 |
| Теги: |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Цитувати: | Usage of artificial neural networks in the energy sector / D.V. Lazarenko // Штучний інтелект. — 2016. — № 4. — С. 80-84. — Бібліогр.: 10 назв. — англ. |
Репозиторії
Digital Library of Periodicals of National Academy of Sciences of Ukraine| Резюме: | The work covers non-traditional methods of forecasting, in particular, methods using artificial neural networks. The article considers such vital moments as: neural network configuration, normalization of input data, also random factors which have influence on the accuracy of load forecasts, are taken into account. Comparative characteristics of effectiveness of artificial neural networks and artificial neural networks with fuzzy logic are given. |
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