Open Access
Issue
E3S Web Conf.
Volume 124, 2019
International Scientific and Technical Conference Smart Energy Systems 2019 (SES-2019)
Article Number 05026
Number of page(s) 4
Section Additional papers
DOI https://doi.org/10.1051/e3sconf/201912405026
Published online 10 February 2020
  1. Neural networks (2018) URL http://statsoft.ru/home/textbook/modules/stneunet. [Google Scholar]
  2. G.P. Shumilova, N.E. Gotman, T.B. Startseva, Prediction of electrical loads in the operational management of electrical energy systems based on neural network structures, 88 (2008) [Google Scholar]
  3. B.V. Papkov, Reliability and efficiency of power supply: tutorial, 210 (1996) [Google Scholar]
  4. C.E. Kuznecov, Forecasting power consumption using neural networks (2016) [Google Scholar]
  5. K.L. Solomakho, Use of the principal components method to predict the electricity consumption of the power supply company, 141 (2015) [Google Scholar]
  6. Group method if data handling (2019) https://en.wikipedia.org/wiki/GMDH [Google Scholar]
  7. A.M. Abdurakhmanov, M.V. Volodin, Ye.Yu. Zybin, Methods for predicting power consumption in distribution networks, 18–20 (2016) [Google Scholar]
  8. V.Z. Manusov, S.V. Khokhlova., Comparative analysis of two models of electrical load forecasting of industrial enterprises based on regression analysis and artificial neural networks, Scientific messenger NGTU, 1, 11–13 (2008) [Google Scholar]
  9. Wiener series (2019) URL https://en.wikipedia.org/wiki/Wiener_series [Google Scholar]
  10. N.A. Serebryakov, S.O. Khomutov, Improving the quality of short-term electrical load forecasting for a group of points of supply for agricultural producers Using a multi-layer perceptron, 90 (2016) [Google Scholar]
  11. System Operator of the Unified Energy System (2019) URL https://so-ups.ru/ [Google Scholar]
  12. I.Yu. Alekseyeva, Improving the reliability of electric power systems based on neural technologies, 15 (2016) [Google Scholar]
  13. Group method of data handling (2019) URL http://www.gmdh.net/ [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.