Jingyi Xie

Fusion of LSTM and SVM to optimize data anomaly detection and demand forecasting in power marketing business expansion

This paper proposes a collaborative optimization framework that integrates LSTM (Long Short-Term Memory) and SVM (Support Vector Machine) to solve the problem of load data anomaly detection and demand forecasting in power marketing business expansion. The robustness of time series features is enhanced by three-layer st...