Application of Big Data Technology in Intelligent Electricity Load Forecasting and Optimization Control
Traditional load forecasting and control methods are limited by means of data acquisition and analysis,and cannot meet the complexity and real-time requirements of modern power grid.The development of big data technology provides a new solution and application way for intelligent power load forecasting and optimal control.The purpose of this paper is to explore the application of big data technology in intelligent power load forecasting and optimal control,establish a framework for intelligent power load detection with big data,and analyze the characteristics of power load,including load feature acquisition and load feature selection criteria.Meanwhile,a load forecasting model based on big data technology is proposed.By studying and analyzing historical data,the model can accurately predict the future electricity load.Finally,the effectiveness of the model is verified by experimental analysis.The experimental results show that big data technology has a good application effect in intelligent power load forecasting and optimal control.
big data technologyintelligent use of electricityload forecastingoptimal control
万方数据
维普
