The use of artificial neural networks to predict the electrical demand

Łukasz Szabłowski , Jarosław Milewski , Jerzy Kuta


Proposed artificial neural network model is used to predict the demand for electric power. Appropriate architecture has been developed that network in terms of number of layers and number of neurons in each layer. Inputs to the model included: daily charge in 1 hour and day of the week, which is related to the load. However, the network received the outputs of the expected demand for electric power for the next day. The network was taught to load the data from the Institute of Thermal Technology and Warsaw University of Central Canteens of the time period from 08.10.2011 to 15.10.2011 and tested on data from a range of 10/16/2011 to 10/23/2011.

Author Łukasz Szabłowski (FPAE / IHE)
Łukasz Szabłowski,,
- The Institute of Heat Engineering
, Jarosław Milewski (FPAE / IHE)
Jarosław Milewski,,
- The Institute of Heat Engineering
, Jerzy Kuta (FPAE / IHE)
Jerzy Kuta,,
- The Institute of Heat Engineering
Journal seriesRynek Energii, ISSN 1425-5960
Issue year2013
ASJC Classification2100 General Energy; 2600 General Mathematics
Languageen angielski
Score (nominal)11
Score sourcejournalList
ScoreMinisterial score = 9.0, 21-09-2020, ArticleFromJournal
Ministerial score (2013-2016) = 11.0, 21-09-2020, ArticleFromJournal
Publication indicators Scopus Citations = 5; GS Citations = 2.0; Scopus SNIP (Source Normalised Impact per Paper): 2013 = 0.569; WoS Impact Factor: 2010 = 0 (2)
Citation count*2 (2015-02-26)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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