Power Consumption Prediction Based on Long Short-term Memory Neural Networks
To solve the problem of low accuracy in predicting available electricity consumption,a power consumption prediction method based on long short-term memory neural networks is proposed.The clas-sification of power loads and typical load curves were analyzed,and the basic principles of support vector regression and long short-term memory neural networks were explained.A prediction method based on the combination of support vector regression and long short-term memory neural networks was proposed,and the prediction process was explained,and statistical evaluation criteria for the prediction results were provided.A case study was analyzed based on the proposed method to demonstrate its effectiveness.
万方数据
维普
