Application of the k-means clustering algorithm to predict load shedding of the Southern Electrical Grid of Libya

Ahmed Alkilany, Almahdi Ahmed, Hammad Said, Azuraliza Abu Bakar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In Libya, from time to time, the National Electricity Grid is directed by the National Electricity Company to conduct load shedding to mitigate pressure on supply at times of peak demand. This involves hours' of power outages in the area covered by this study, namely, the Southern Electrical Grid of Libya (SEGL). This paper discusses the results of a pattern extraction process using the k-means clustering algorithm to predict load shedding for this scenario. The data consist of all loads shed in 40 electrical power stations in southern Libya for a two-year period from 2009 through 2010. An experiment was conducted to assess the effectiveness of the k-means clustering algorithm in grouping (clustering) the data as a means to predict future load shedding in the SEGL. Each cluster was generated five times to create five different cluster sizes (1, 2, 5, 7 and 10) with different seed values. The pattern extracted provided information on all attributes. The obtained results showed that the generated clusters are fit to be used for the future load shedding schedule problem in the SEGL.

Original languageEnglish
Title of host publication4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages244-247
Number of pages4
ISBN (Print)9781479942336
DOIs
Publication statusPublished - 16 Oct 2014
Event4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014 - Luton, United Kingdom
Duration: 13 Aug 201415 Aug 2014

Other

Other4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014
CountryUnited Kingdom
CityLuton
Period13/8/1415/8/14

Fingerprint

Clustering algorithms
Electricity
Outages
Seed
Industry
Experiments
K-means clustering
Grid
Clustering algorithm

Keywords

  • clusters
  • data mining
  • decision support system
  • k-means algorithm
  • load shedding

ASJC Scopus subject areas

  • Management of Technology and Innovation
  • Computer Science(all)

Cite this

Alkilany, A., Ahmed, A., Said, H., & Abu Bakar, A. (2014). Application of the k-means clustering algorithm to predict load shedding of the Southern Electrical Grid of Libya. In 4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014 (pp. 244-247). [6927763] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INTECH.2014.6927763

Application of the k-means clustering algorithm to predict load shedding of the Southern Electrical Grid of Libya. / Alkilany, Ahmed; Ahmed, Almahdi; Said, Hammad; Abu Bakar, Azuraliza.

4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 244-247 6927763.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Alkilany, A, Ahmed, A, Said, H & Abu Bakar, A 2014, Application of the k-means clustering algorithm to predict load shedding of the Southern Electrical Grid of Libya. in 4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014., 6927763, Institute of Electrical and Electronics Engineers Inc., pp. 244-247, 4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014, Luton, United Kingdom, 13/8/14. https://doi.org/10.1109/INTECH.2014.6927763
Alkilany A, Ahmed A, Said H, Abu Bakar A. Application of the k-means clustering algorithm to predict load shedding of the Southern Electrical Grid of Libya. In 4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 244-247. 6927763 https://doi.org/10.1109/INTECH.2014.6927763
Alkilany, Ahmed ; Ahmed, Almahdi ; Said, Hammad ; Abu Bakar, Azuraliza. / Application of the k-means clustering algorithm to predict load shedding of the Southern Electrical Grid of Libya. 4th International Conference on Innovative Computing Technology, INTECH 2014 and 3rd International Conference on Future Generation Communication Technologies, FGCT 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 244-247
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