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An Image Fingerprint and Attention Mechanism Based Load Estimation Algorithm for Electric Power System

Qing Zhu1,*, Linlin Gu1,2, Huijie Lin1,2

1 Electricity Technology Branch, Nari Technology Co., Ltd., Nanjing, 211106, China
2 NARI-TECH Nanjing Control Systems Co., Ltd., Nanjing, 211106, China

* Corresponding Author: Qing Zhu. Email: email

(This article belongs to the Special Issue: Machine Learning-Guided Intelligent Modeling with Its Industrial Applications)

Computer Modeling in Engineering & Sciences 2024, 140(1), 577-591. https://doi.org/10.32604/cmes.2023.043307

Abstract

With the rapid development of electric power systems, load estimation plays an important role in system operation and planning. Usually, load estimation techniques contain traditional, time series, regression analysis-based, and machine learning-based estimation. Since the machine learning-based method can lead to better performance, in this paper, a deep learning-based load estimation algorithm using image fingerprint and attention mechanism is proposed. First, an image fingerprint construction is proposed for training data. After the data preprocessing, the training data matrix is constructed by the cyclic shift and cubic spline interpolation. Then, the linear mapping and the gray-color transformation method are proposed to form the color image fingerprint. Second, a convolutional neural network (CNN) combined with an attention mechanism is proposed for training performance improvement. At last, an experiment is carried out to evaluate the estimation performance. Compared with the support vector machine method, CNN method and long short-term memory method, the proposed algorithm has the best load estimation performance.

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Cite This Article

APA Style
Zhu, Q., Gu, L., Lin, H. (2024). An image fingerprint and attention mechanism based load estimation algorithm for electric power system. Computer Modeling in Engineering & Sciences, 140(1), 577-591. https://doi.org/10.32604/cmes.2023.043307
Vancouver Style
Zhu Q, Gu L, Lin H. An image fingerprint and attention mechanism based load estimation algorithm for electric power system. Comput Model Eng Sci. 2024;140(1):577-591 https://doi.org/10.32604/cmes.2023.043307
IEEE Style
Q. Zhu, L. Gu, and H. Lin "An Image Fingerprint and Attention Mechanism Based Load Estimation Algorithm for Electric Power System," Comput. Model. Eng. Sci., vol. 140, no. 1, pp. 577-591. 2024. https://doi.org/10.32604/cmes.2023.043307



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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