...章摘要信息 关键词 ： 日负荷预测;BP神经网络;径向基函数神经网络;级联神经网络 [gap=1210]Keywords : daily load forecast;back propagation (BP) neural network;radial basis function (RBF) neural network..
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The building model and forecast method of daily load forecast based on climate influence are discussed.
对基于分时电价的日负荷预测模型的建模和预测进行了讨论。
参考来源 - 电力系统日负荷预测理论与方法的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The characteristics of natural gas daily load, the establishment and the optimization process of the forecast model for Beijing City are described.
论述了北京市天然气日负荷的特点、预测模型的建立及优化过程。
This thesis covers three aspects: the process method of daily load data, the research of forecast model and the software development of daily loadforecast.
本文的工作包括日负荷历史数据的处理、预测模型建模理论研究和日负荷预测的软件实现问题三个方面。
Based on the forecast of daily gas load in Anshan City, the method for processing history data of gas load is discussed.
结合鞍山市燃气日负荷预测，论述了历史燃气负荷数据的处理方法。
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