A Short-Term Load Forecasting Model Based on Self-Adaptive Momentum Factor and Wavelet Neural Network in Smart Grid

Short-term load forecasting plays an essential role in the efficient management of electrical systems. Building an optimization model that will enhance forecasting accuracy is a challenging task and a concern for electrical load prediction. Due to Artificial Neural Networks (ANNs), the final result...

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Bibliographic Details
Published in:	IEEE access Vol. 10; pp. 77587 - 77602
Main Authors:	ZulfiqAr, Muhammad, Kamran, Muhammad, Rasheed, Muhammad Babar, Alquthami, Thamer, Milyani, Ahmad H.
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Accuracy Artificial neural networks Back propagation Back propagation networks Convergence convergence accuracy Electrical loads Feature extraction Forecasting Iron Load forecasting Load modeling Mathematical models Momentum Neural networks Optimization models Parameters Prediction models Predictive models self-adaptive momentum factor Smart grid Stability Thresholds wavelet neural networks wavelet transform Wavelet transforms
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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