Short Term Electricity Load Forecasting Through Machine Learning

Ahmad Taher Azar; Alaa Khamis; Nashwa Ahmad Kamal; Brian J. Galli

doi:10.1007/978-3-030-44289-7_40

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Short Term Electricity Load Forecasting Through Machine Learning

Ahmad Taher Azar Alaa Khamis Nashwa Ahmad Kamal Brian J. Galli

Year: 2020 Advances in intelligent systems and computing Pages: 427-437 Publisher: Springer Nature

DOI: 10.1007/978-3-030-44289-7_40

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Keywords:

Mean absolute percentage error Term (time) Dependability Electricity Computer science Artificial neural network Electric power system Electrical load Approximation error Power (physics) Reliability engineering Artificial intelligence Engineering Algorithm Electrical engineering

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Cited By

4.80

FWCI (Field Weighted Citation Impact)

Refs

0.96

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Short Term Electricity Load Forecasting Through Machine Learning

Metrics

Citation History

Topics

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