首页|基于人工智能算法的电力系统自动化负荷预测方法研究

基于人工智能算法的电力系统自动化负荷预测方法研究

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人工智能算法是数据处理和预测的强大工具,能提高负荷预测的准确性和效率.电力系统的负荷预测是指预测特定时段内电网的电力需求量,这对于电网的稳定运行和优化管理至关重要.首先,介绍了人工智能算法在电力系统自动化负荷预测中的应用,通过数据获取和多方位负荷预测提高预测的准确性和效率;其次,展示了如何通过预测结果的分段截取来优化电力系统的控制;最后,对所提方法进行了实际测试,验证了其有效性和实用性.
Research on the Automatic Load Forecast Method of Power System Based on Artificial Intelligence Algorithm
Artificial intelligence algorithms are powerful tools for data processing and prediction,which can improve the accuracy and efficiency of load forecasting.The load forecasting of the power system refers to predicting the electricity demand of the power grid during a specific period of time,which is crucial for the stable operation and optimized management of the power grid.Firstly,the application of artificial intelligence algorithms in power system automation load forecasting is introduced,which improves the accuracy and efficiency of forecasting through data acquisition and multi-directional load forecasting.Secondly,it demonstrated how to optimize the control of the power system by segmenting the predicted results.Finally,practical testing was conducted on the proposed method,verifying its effectiveness and practicality.

artificial intelligence algorithmspower systemsload forecastingdata acquisition

任洁、尹胜利

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国网江苏省电力有限公司淮安供电分公司,江苏 淮安 223001

人工智能算法 电力系统 负荷预测 数据获取

2024

自动化应用
重庆西南信息有限公司

自动化应用

影响因子:0.156
ISSN:1674-778X
年,卷(期):2024.65(13)