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。
关键词： 人工智能；电力系统；负荷预测；模型构建；应用研究
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.
Key words： Artificial intelligence; Power system; Load prediction; Model construction; Application research
参考文献 References
[1] 车泉辉,周俊,朱亚,等.融合多类人工智能模型的电力系统多荷短期预测技术探析[J].电力设备管理,2024,(18): 11-13.
[2] 任洁,尹胜利.基于人工智能算法的电力系统自动化负荷预测方法研究[J].自动化应用,2024,65(13):23-25.
[3] 杨雷,罗雪红,韩鹍,等.基于人工智能算法的电力系统负荷预测研究综述[J].电工技术,2024,(12):57-60.
[4] 郑志娴,郑晶.融合GSO算法与AFSA算法的人工智能电力系统预测模型设计[J].黑龙江工业学院学报(综合版),2024,24(03):115-120.
[5] 杨佳泽,王灿,王增平.新型电力系统背景下的智能负荷预测算法研究综述[J/OL].华北电力大学学报(自然科学版),1-14[2025-04-02]
[6] 韩富佳,王晓辉,乔骥,等.基于人工智能技术的新型电力系统负荷预测研究综述[J].中国电机工程学报,2023, 43(22):8569-8592.
[7] 梁凌宇,赵翔宇,黄文琦,等.融合多类人工智能模型的电力系统负荷短期预测技术研究[J].电力大数据,2022, 25(06):16-23.
[8] 蔡夏,邢骏.电力系统负荷预测方法综述[J].信息化研究,2010,36(06):5-7+25.