RETRACTED ARTICLE: Multiclass normalized clustering and classification model for electricity consumption data analysis in machine learning techniques
During the past two decades, a numerous amount of research applications has been taken for machine learning tasks. In this paper, both supervised and unsupervised learning techniques used to analyse the electricity consumption data in India. Multiclass clustering and classification model of the data...
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Veröffentlicht in: | Journal of ambient intelligence and humanized computing 2021-05, Vol.12 (5), p.5093-5103 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | During the past two decades, a numerous amount of research applications has been taken for machine learning tasks. In this paper, both supervised and unsupervised learning techniques used to analyse the electricity consumption data in India. Multiclass clustering and classification model of the dataset provides more insight towards the consumption behaviour on different regions. The proposed Enhanced Multiclass Normalized Optimal Cluster Algorithm has been used to group the data objects and classification of the data into multiple classes. The classification model for electricity consumption evaluates and compares the accuracy of the input dataset. The results give an overview of demands that are existing in energy consumption in different regions of India and also indicate that the proposed method performance is significantly better. |
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ISSN: | 1868-5137 1868-5145 |
DOI: | 10.1007/s12652-020-01960-w |