Research and application of a hybrid forecasting model based on data decomposition for electrical load forecasting

Energies

Volumn 9, Issue 12, 2016, Pages

  Dong, Yuqi ^a   Ma, Xuejiao ^b   Ma, Chenchen ^c   Wang, Jianzhou ^b,c  

^a GUANGXI NORMAL UNIVERSITY   (China)

^b DONGBEI UNIVERSITY OF FINANCE AND ECONOMICS   (China)

^c LANZHOU UNIVERSITY   (China)

Author keywords

Data decomposition; Electrical load forecasting; Generalized regression neural network; Genetic algorithm

Indexed keywords

ELECTRIC POWER PLANT LOADS; FORECASTING; GENETIC ALGORITHMS; NEURAL NETWORKS; RANDOM PROCESSES; TIME SERIES;

DATA DECOMPOSITION; ELECTRICAL LOAD FORECASTING; FORECASTING ACCURACY; GENERALIZED REGRESSION NEURAL NETWORKS; HYBRID FORECASTING; NONLINEAR TIME SERIES; RESEARCH AND APPLICATION; SHORT-TERM ELECTRICAL LOADS;

ELECTRIC LOAD FORECASTING;

EID: 85012272132     PISSN: None     EISSN: 19961073     Source Type: Journal    
DOI: 10.3390/en9121050     Document Type: Article

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