Analysis of Strategies for Improving Load Forecasting Accuracy in Power Systems
This paper aims to propose strategies for enhancing the accuracy of load forecasting in power systems.Considering various factors such as data preprocessing and cleansing,feature engineering and selection,modeling al-gorithms,and model fusion,a specific and feasible implementation plan is adopted.Through refined data processing,optimized feature extraction and selection,and the application of advanced modeling algorithms and model fusion techniques,the accuracy and reliability of load forecasting models are effectively improved.This work provides valu-able support for the operation and planning of power systems,contributing to enhancing operational efficiency and stability,and providing significant references for future energy planning and management.
Power systemsLoad forecastingData preprocessingModel fusion
万方数据
维普
