A Combined Method for Short-Term Load Forecasting Considering the Characteristics of Components of Seasonal and Trend Decomposition Using Local Regression

In response to the complexity and high volatility of original load data affecting the accuracy of load forecasting, a combined method for short-term load forecasting considering the characteristics of components of seasonal and trend decomposition using local regression (STL) is proposed. The origin...

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التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Sile Hu, Yuan Wang, Wenbin Cai, Yuan Yu, Chao Chen, Jiaqiang Yang, Yucan Zhao, Yuan Gao
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	MDPI AG 2024-03-01
سلاسل:	Applied Sciences
الموضوعات:	short-term load forecasting seasonal and trend decomposition using local regression long and short-term memory network convolutional neural network Gaussian process regression
الوصول للمادة أونلاين:	https://www.mdpi.com/2076-3417/14/6/2286
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!