Short-term power load prediction method and system based on improved decision tree

The invention belongs to the technical field of power load prediction, and particularly relates to a short-term power load prediction method and system based on an improved decision tree. The method comprises the following steps: S1, clustering data required by short-term power load prediction; s2,...

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Hauptverfasser: XIONG RUI, SUN SHOUDAO, WANG YIXI, ZHANG QIANG, WANG MINGRUI, ZHAO HAODONG, WANG WEI, ZHANG QUAN, ZHANG DI, DUO JUNLONG, WANG YANLUN, E XUEJIAO, WANG YAN
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention belongs to the technical field of power load prediction, and particularly relates to a short-term power load prediction method and system based on an improved decision tree. The method comprises the following steps: S1, clustering data required by short-term power load prediction; s2, filling the data required by the short-term power load prediction; s3, constructing a short-term power load prediction model based on a decision tree method of gradient lifting; and S4, completing short-term power load prediction by adopting the short-term power load prediction model. According to the method provided by the invention, real-time power dispatching of a power supply department and a power distribution department can be met, a power plant is helped to make a reasonable power generation plan, and related departments coordinate the relationship among power supply, power distribution and power utilization, so that a power system runs more smoothly and stably. 本发明属于电力负荷预测技术领域,尤其涉及一种基于改进决策树的短期电力负荷预测方法及系统。所述