Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition Academic Article

authors

• Abu-Rub, Haitham
• Bouhali, Othmane
• Ghrayeb, Ali

published proceedings

• IEEE ACCESS

altmetric score

• 1

author list (cited authors)

• Syed, D., Abu-Rub, H., Ghrayeb, A., Refaat, S. S., Houchati, M., Bouhali, O., & Banales, S.

citation count

• 27

complete list of authors

• Syed, Dabeeruddin||Abu-Rub, Haitham||Ghrayeb, Ali||Refaat, Shady S||Houchati, Mahdi||Bouhali, Othmane||Banales, Santiago

publication date

• April 2021

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Access  Journal

keywords

• Clustering Algorithms
• Data Models
• Deep Neural Networks
• Distribution Transformers
• Energy Consumption
• Forecasting
• K-medoids Clustering
• Load Forecasting
• Load Modeling
• Machine Learning
• Predictive Models
• Short-term Load Forecasting

Digital Object Identifier (DOI)

• 10.1109/ACCESS.2021.3071654

start page

• 54992

end page

• 55008

volume

• 9

issue

• 99

URL

• http://dx.doi.org/10.1109/access.2021.3071654

user-defined tag

• 7 Affordable and Clean Energy