With the rapid development of smart grids,the coal-fired power plant industry can generate billions of power time se-ries data every day.The analysis and prediction of power time series data have important practical significance for the safe and stable operation of the power system and the rational allocation of resources.In recent years,more and more scholars have be-gun to study the prediction of power time series data.Most existing methods predict future trends by studying the static relation-ships or historical sequence characteristics between multiple power time series data.This article analyzes the research status and related technologies of power time series data prediction methods,which have achieved good application effects in power load forecasting,renewable energy forecasting,fault forecasting,and other fields.
关键词
燃煤发电厂/时间序列/电力时序预测/神经网络
Key words
coal-fired power plants/time series/power time series prediction/neural network
维普
万方数据