АНАЛІЗ ЕФЕКТИВНОСТІ ВИРІШЕННЯ ЗАДАЧІ КОРОТКОСТРОКОВОГО ПРОГНОЗУВАННЯ СУМАРНОГО ЕЛЕКТРИЧНОГО НАВАНТАЖЕННЯ ЕНЕРГОСИСТЕМИ З ВИКОРИСТАННЯ ШНМ ТИПУ БАГАТОШАРОВИЙ ПЕРСЕПТРОН
The efficiency of the use of artificial neural network of type is in-process analysed multi-layered perceptron for the decision of task of short-term prognostication of the total electric loading of the electroenergy system of Ukraine. As a result of research the extended teaching retrievals of data...
Збережено в:
| Дата: | 2014 |
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| Автори: | , , |
| Формат: | Стаття |
| Мова: | Ukrainian |
| Опубліковано: |
Vinnytsia National Technical University
2014
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| Теми: | |
| Онлайн доступ: | https://oeipt.vntu.edu.ua/index.php/oeipt/article/view/289 |
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| Назва журналу: | Optoelectronic Information-Power Technologies |
Репозитарії
Optoelectronic Information-Power Technologies| Резюме: | The efficiency of the use of artificial neural network of type is in-process analysed multi-layered perceptron for the decision of task of short-term prognostication of the total electric loading of the electroenergy system of Ukraine. As a result of research the extended teaching retrievals of data for an artificial neural network are formulated, allowing designing influence on total electric loading of technological, meteorological and astronomic factors, its optimal architecture is determined. The estimation of efficiency of network is conducted by comparison of the results got with the use of identical set of basic data on the basis of ANN and NAS of Ukraine of additive mathematical modelof the total electric loading of electroenergy system is carried out in the Institute of electrodynamics. |
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