With the continuous growth of energy demand and the development of smart grid,accurate prediction of electric energy demand becomes the key to improve energy efficiency and grid stability.The article designs a big data-based power prediction system,including software functional modules such as power consumption pattern analysis,short-term and long-term power prediction and anomaly data warning,combined with corresponding hardware support modules,to achieve in-depth understanding of power consumption patterns and accurate prediction.The effectiveness and reliability of the system are verified through functional and performance tests.
关键词
大数据/电能预测/智能电网/数据分析/预测算法
Key words
big data/electric energy prediction/smart grid/data analysis/prediction algorithm
维普
万方数据