Fusion of Hierarchical Optimization Models for Accurate Power Load Prediction
Sicheng Wan,
Yibo Wang,
Youshuang Zhang
et al.
Abstract:Accurate power load forecasting is critical to achieving the sustainability of energy management systems. However, conventional prediction methods suffer from low precision and stability because of crude modules for predicting short-term and medium-term loads. To solve such a problem, a Combined Modeling Power Load-Forecasting (CMPLF) method is proposed in this work. The CMPLF comprises two modules to deal with short-term and medium-term load forecasting, respectively. Each module consists of four essential pa… Show more
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