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WIT Transactions on Ecology and the EnvironmentVolume 190 VOLUME 1, 2014, Pages 109-1171st International Conference on Energy Production and Management in the 21st Century: The Quest for Sustainable Energy; Ekateringburg; Russian Federation; 23 April 2014 through 25 April 2014

The prediction of electric energy consumption using an artificial neural network(Article)(Open Access)

  • Chernykh, I.,
  • Chechushkov, D.,
  • Panikovskaya, T.
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  • aDepartment of High Voltage Engineering, Ural Federal University, Russian Federation
  • bDepartment of Automated Electric Systems, Ural Federal University, Russian Federation

Abstract

This paper presents the results of the studies on forecasting the electrical loads for a megapolis district with the use of artificial neural networks (ANN) as one of the most accomplished and promising solutions to this challenge. A theoretical approach to the issue is combined with the results of experimental studies using real schedules. © 2014 WIT Press.

Author keywords

Artificial neural networkElectrical loadsUpdated input data

Indexed keywords

GEOBASE Subject Index:artificial neural networkenergy usemegacityprediction
  • ISSN: 17433541
  • ISBN: 978-184564816-9
  • Source Type: Journal
  • Original language: English
  • DOI: 10.2495/EQ140121
  • Document Type: Article
  • Sponsors: International Journal of Safety and Security Engineering,International Journal of Sustainable Development and Planning,WIT Transactions on Ecology and the Environment
  • Publisher: WITPress


© Copyright 2016 Elsevier B.V., All rights reserved.

Cited by 1 document

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(2022) Sustainability (Switzerland)
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