Analysis of Power Load Forecasting and Scheduling Strategy Optimization Based on Machine Learning
This paper describes the limitations of traditional forecasting methods and the advantages of machine learning in load forecasting,and analyzes the application effects of using different machine learning algorithms in load forecasting.It proposes to optimize scheduling strategies through reinforcement learning and genetic algorithms,and proves their effectiveness through examples.
万方数据
维普
