概念漂移环境下使用增量贝叶斯随机配置网络进行风力发电概率预测

IF 4.2 2区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Industry Applications Pub Date : 2024-09-17 DOI:10.1109/tia.2024.3462696

Jizhong Zhu, Le Zhang, Di Zhang, Yixi Chen

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Probabilistic Wind Power Prediction Using Incremental Bayesian Stochastic Configuration Network Under Concept Drift Environment

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来源期刊

IEEE Transactions on Industry Applications 工程技术-工程：电子与电气

CiteScore

9.90

自引率

9.10%

发文量

747

审稿时长

3.3 months

期刊介绍： The scope of the IEEE Transactions on Industry Applications includes all scope items of the IEEE Industry Applications Society, that is, the advancement of the theory and practice of electrical and electronic engineering in the development, design, manufacture, and application of electrical systems, apparatus, devices, and controls to the processes and equipment of industry and commerce; the promotion of safe, reliable, and economic installations; industry leadership in energy conservation and environmental, health, and safety issues; the creation of voluntary engineering standards and recommended practices; and the professional development of its membership.