Forecasting of electricity consumption in SmartGrid

Julia Yamnenko, Tetyana Tereshchenko, Liubov Klepach, Dmitry Palii

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

The article is devoted to the use of wavelet transform for pre data processing when forecasting electricity consumption in Smart Grid. The choice of wavelet transform at oriented basis is proposed in order to increase data processing rate and level of compression as compared with other wavelets.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Modern Electrical and Energy Systems, MEES 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages208-211
Number of pages4
ISBN (Electronic)9781538617502
DOIs
StatePublished - 28 Jun 2017
Externally publishedYes
Event2017 International Conference on Modern Electrical and Energy Systems, MEES 2017 - Kremenchuk, Ukraine
Duration: 15 Nov 201717 Nov 2017

Publication series

NameProceedings of the International Conference on Modern Electrical and Energy Systems, MEES 2017
Volume2018-January

Conference

Conference2017 International Conference on Modern Electrical and Energy Systems, MEES 2017
Country/TerritoryUkraine
CityKremenchuk
Period15/11/1717/11/17

Keywords

  • Haar and OB wavelet transforms
  • Smart Grid
  • forecast process control
  • forecasting electricity consumption
  • neural networks
  • time series

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