A modified feature selection and artificial neural network-based day-ahead load forecasting model for a smart grid

Ashfaq Ahmad; Nadeem Javaid; Nabil Alrajeh; Zahoor Ali Khan; Umar Qasim; Abid Khan

doi:10.3390/app5041756

A modified feature selection and artificial neural network-based day-ahead load forecasting model for a smart grid

Ashfaq Ahmad, Nadeem Javaid, Nabil Alrajeh, Zahoor Ali Khan, Umar Qasim, Abid Khan

Institutional Research Division

Research output: Contribution to journal › Article › peer-review

46 Citations (Scopus)

Original language	English
Pages (from-to)	1756-1772
Number of pages	17
Journal	Applied Sciences (Switzerland)
Volume	5
Issue number	4
DOIs	https://doi.org/10.3390/app5041756
Publication status	Published - 2015

ASJC Scopus Subject Areas

General Materials Science
Instrumentation
General Engineering
Process Chemistry and Technology
Computer Science Applications
Fluid Flow and Transfer Processes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/app5041756

Cite this

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author = "Ashfaq Ahmad and Nadeem Javaid and Nabil Alrajeh and Khan, {Zahoor Ali} and Umar Qasim and Abid Khan",

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AU - Ahmad, Ashfaq

AU - Javaid, Nadeem

AU - Alrajeh, Nabil

AU - Khan, Zahoor Ali

AU - Qasim, Umar

AU - Khan, Abid

N1 - Funding Information: The authors would like to extend their sincere appreciation to the Visiting Professor Program at King Saud University for funding this research. Publisher Copyright: © 2015 by the authors.

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M3 - Article

AN - SCOPUS:84967068941

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A modified feature selection and artificial neural network-based day-ahead load forecasting model for a smart grid

ASJC Scopus Subject Areas

UN SDGs

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