摘要
电力负荷预测和调度优化是电力工程中的重要研究领域,对于确保电力系统的稳定运行具有关键作用。基于此,本文介绍电力负荷预测的基本概念和目标,探讨电力负荷预测的方法,常见负荷预测方法主要包括时间序列分析、回归分析、人工神经网络、支持向量机等。这些方法可根据不同数据特点和预测需求,选择合适的模型进行负荷预测。根据实践研究证明,电力负荷预测与调度优化是电力工程中的重要研究内容,通过负荷预测和调度优化,能有效提高电力供应质量,为电力系统可持续发展做出贡献。
Electric power load forecasting and scheduling optimization are crucial research areas in electrical engineering,playing a pivotal role in ensuring the stable operation of power systems.Based on this,this article introduces the basic concepts and objectives of power load forecasting,and explores various methods for power load forecasting.Common load forecasting methods mainly include time series analysis,regression analysis,artificial neural networks,and support vector machines.Depending on the characteristics of different data and forecasting requirements,appropriate models can be selected for load forecasting.According to practical research,power load forecasting and scheduling optimization are important research contents in electrical engineering.Through load forecasting and scheduling optimization,it can effectively improve the quality of power supply and contribute to the sustainable development of power systems.
作者
张伟
王殿玺
徐国川
Zhang Wei;Wang Dianxi;Xu Guochuan(Qingdao Teruide Electric Co.,Ltd.,Qingdao,Shandong,China,266104)
出处
《仪器仪表用户》
2024年第3期86-88,共3页
Instrumentation
关键词
电力负荷预测
调度优化
电力工程
电力系统
发电能力
power load forecasting
scheduling optimization
electrical engineering
power system
power generation capacity
