基于多源异构数据融合的台区负荷预测方法
Load Forecasting Method for Substations Based on Multi-Source Heterogeneous Data Fusion
胡可涵1
作者信息
- 1. 国网新疆电力有限公司乌鲁木齐供电公司,新疆乌鲁木齐 830000
- 折叠
摘要
随着大数据技术的飞速发展,多源异构数据的融合技术逐渐被应用于智慧城市的治理和发展.使用基于多源异构数据融合的台区负荷预测方法,通过整合来自不同台区的多样化数据,以全面且准确地获取台区信息.通过多源异构数据融合技术,对信息进行选择与融合,实现台区负荷的最优预测,以提高预测精度和可靠性.
Abstract
With the rapid development of big data technology,the fusion technology of multi-source heterogeneous data is applied to the governance and development of smart cities.Using a substation load forecasting method based on multi-source heterogeneous data fusion,by integrating diverse data from different substations,comprehensive and accurate substation information can be obtained.Through multi-source heterogeneous data fusion technology,information is selected and fused to achieve optimal load prediction in the substation area,in order to improve prediction accuracy and reliability.
关键词
台区负荷/多源异构数据融合/大数据Key words
substation load/multi-source heterogeneous data fusion/big data引用本文复制引用
出版年
2024
NETL
NSTL
万方数据