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.
big dataelectric energy predictionsmart griddata analysisprediction algorithm
维普
万方数据
