Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition

Author:

Büyükşahin Ümit ÇavuşORCID,Ertekin Şeyda

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference32 articles.

1. SAS for Forecasting Time Series;Brocklebank,2018

2. ARIMA models to predict next-day electricity prices;Contreras;IEEE Power Eng. Rev.,2002

3. Monthly electric energy demand forecasting based on trend extraction;Gonzalez-Romera;IEEE Trans. Power Syst.,2006

4. Modelling and forecasting sugarcane and sugar production in india;Vishwajith;Indian J. Econ. Dev.,2016

5. Improving forecasting accuracy of annual runoff time series using ARIMA based on EEMD decomposition;Wang;Water Resour. Manag.,2015

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