Data mining and analysis for predicting electrical energy consumption
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Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this research, data mining techniques that included the deep learning with different scenario is presented for predicting electrical energy consumption data. Energy of the features are implemented and calculated from the electrical energy consumption data. Different scenario with neuron numbers for artificial neural network are investigated and analyzed. Also the results are compared with other k-fold numbers of the data. The results of proposed method shows that the proposed methods has high accuracy and high performance.
Açıklama
Anahtar Kelimeler
Data Mining Techniques, Electrical Energy Consumption Data, Feature Analysis, Predicting
Kaynak
Proceedings - 2022 International Conference on Artificial Intelligence of Things, ICAIoT 2022
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Almohammed, M., Farhan, H. M., Naseri, R. A. S., & Turkben, A. K. (2022). Data mining and analysis for predicting electrical energy consumption. In 2022 International Conference on Artificial Intelligence of Things (ICAIoT). IEEE.
