Application of adaptive ensemble neural network method for short-term load forecasting electrical engineering complex of regional electric grid

Application of adaptive ensemble neural network method for short-term load forecasting electrical engineering complex of regional electric grid

The article is devoted to the problem of improving the accuracy of short-term load forecasting of electrical engineering complex of regional electric grid with the use deep machine learning tools. The effectiveness of the application of the adaptive learning algorithm for deep neural networks f...

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Bibliographic Details
Main Author: N. A. Serebryakov
Format: Article
Language:English
Published: Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education 2021-03-01
Series:Омский научный вестник
Subjects:
regional electric grid
forecasting electricity consumption
artificial neural network
learning algorithm
convolution networks
recurrent neural networks
Online Access:https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2021/%20%E2%84%96%201%20(175)%20(%D0%9E%D0%9D%D0%92)/39-45%20%D0%A1%D0%B5%D1%80%D0%B5%D0%B1%D1%80%D1%8F%D0%BA%D0%BE%D0%B2%20%D0%9D.%20%D0%90..pdf
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https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2021/%20%E2%84%96%201%20(175)%20(%D0%9E%D0%9D%D0%92)/39-45%20%D0%A1%D0%B5%D1%80%D0%B5%D0%B1%D1%80%D1%8F%D0%BA%D0%BE%D0%B2%20%D0%9D.%20%D0%90..pdf

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