基于人工智能的电力系统负荷预测模型研究与应用

Research and application of power system load prediction model based on artificial intelligence

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DOI 10.12208/j.jeea.20250028
刊名
Journal of Electrical Engineering and Automation
年,卷(期) 2025, 4(2)
作者
作者单位

广西谷林电力工程有限公司 广西贺州

摘要
电力系统负荷预测对电网规划与运行至关重要。本文研究基于人工智能的负荷预测模型,探讨其构建与应用。通过分析传统预测方法局限性,结合人工智能技术优势,提出改进模型。实验验证模型准确性与可靠性,结果表明其能有效提升预测精度,为电力系统智能化发展提供支持,具有广阔应用前景。
Abstract
Power system load prediction is crucial to power grid planning and operation. This paper studies the load prediction model based on artificial intelligence and discusses its construction and application. By analyzing the limitations of traditional prediction methods and combining the advantages of artificial intelligence technology, the improvement model is proposed. The experiment verifies the accuracy and reliability of the model, and the results show that it can effectively improve the prediction accuracy, provide support for the intelligent development of the power system, and has a broad application prospect.
关键词
人工智能;电力系统;负荷预测;模型构建;应用研究
KeyWord
Artificial intelligence; Power system; Load prediction; Model construction; Application research
基金项目
页码 11-13
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张丽悦. 基于人工智能的电力系统负荷预测模型研究与应用 [J]. 电气工程与自动化. 2025; 4; (2). 11 - 13.

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