负荷预测中基于SVR模型中值的网格搜索算法

Q3 Computer Science

Periodica polytechnica Electrical engineering and computer science Pub Date : 2022-10-20 DOI:10.3311/ppee.20887

ThanhNgoc Tran

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引用次数: 0

摘要

本文提出了一种基于中值的中值网格搜索算法，以开发一种更精确的算法来研究负荷预测中支持向量回归模型的最优超参数。此外，本文还建立了网格搜索和传统网格搜索的基准测试方法，并充分利用了该方法。实验数据来源于南澳大利亚州、澳大利亚和胡志明市的负荷需求。实验结果表明，该算法优于传统算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A New Grid Search Algorithm Based on Median Values for SVR Model in Case of Load Forecasting

In this paper, a Median Grid Search algorithm based on the median values is proposed to develop a more accurate algorithm used to investigate the optimal hyperparameter of the SVR model for load forecasting. In addition, the methodology to benchmark the proposed Grid Search and the conventional Grid Search is built and sufficiently utilized. The data gathered from the South Australia state, Australia and Ho Chi Minh City load demands are used in experiments. Experimental results demonstrate that the proposed algorithm outperforms the conventional algorithm.

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来源期刊

Periodica polytechnica Electrical engineering and computer science Engineering-Electrical and Electronic Engineering

CiteScore

2.60

自引率

0.00%

发文量

期刊介绍： The main scope of the journal is to publish original research articles in the wide field of electrical engineering and informatics fitting into one of the following five Sections of the Journal: (i) Communication systems, networks and technology, (ii) Computer science and information theory, (iii) Control, signal processing and signal analysis, medical applications, (iv) Components, Microelectronics and Material Sciences, (v) Power engineering and mechatronics, (vi) Mobile Software, Internet of Things and Wearable Devices, (vii) Solid-state lighting and (viii) Vehicular Technology (land, airborne, and maritime mobile services; automotive, radar systems; antennas and radio wave propagation).