Time Series Forecasting of Electrical Energy Consumption Using Deep Learning Algorithm

Time Series Forecasting of Electrical Energy Consumption Using Deep Learning Algorithm

Energy consumption forecasting is an operation of predicting the future energy consumption of electrical systems using previous or historical data. The Long Short-term Memory (LSTM) Model; a deep learning model was used in this project to analyze the Short-term consumption forecast performance. Thi...

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Bibliographic Details
Main Authors: E. O. Edoka, V. K. Abanihi, H. E. Amhenrior, E. M. J. Evbogbai, L. O. Bello, V. Oisamoje
Format: Article
Language:English
Published: Faculty of Engineering and Technology 2023-09-01
Series:Nigerian Journal of Technological Development
Subjects:
Energy consumption
Load forecasting
Short-term forecast
Long Short-Term Memory (LSTM)
Recurrent Neural Networks (RNN)
Online Access:https://journal.njtd.com.ng/index.php/njtd/article/view/1424

Internet

https://journal.njtd.com.ng/index.php/njtd/article/view/1424

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