مقاله مقایسه تجزیه حالت واریانس و تجربی در پیش بینی قیمت انرژی روز قبل

عنوان مقاله فارسی: مقایسه تجزیه حالت واریانس و تجربی در پیش بینی قیمت انرژی روز قبل عنوان مقاله لاتین: Comparing Variational and Empirical Mode Decomposition in Forecasting Day-Ahead Energy Prices نویسندگان: Salim Lahmiri تعداد صفحات: 3 سال انتشار: 2017 زبان: لاتین Abstract: Recently, variational mode decomposition (VMD) has been proposed as an advanced multiresolution technique for signal processing. This study presents a VMD-based generalized regression neural network ensemble learning model to predict California electricity and Brent crude oil prices. Its performance is compared to that of the empirical mode decomposition (EMD) based generalized regression neural network (GRNN) ensemble model. Particle swarm optimization is used to optimize each GRNN initial weight within the ensemble system. Experimental results showed