The results show that hybrid models are more accurate than single time series/machine learning models when forecasting Turkish electricity consumption. Moreover, The Khashei and Bijari hybrid model outperformed the other models and it was determined as the best model for forecasting Türkiye's electricity consumption.
Abstract: In this study, we implemented traditional, artificial intelligence and hybrid methods to predict electricity consumption of Turkey.
Bibliographic details on Forecasting the annual electricity consumption of Turkey using a hybrid model.
In this study, total electric energy demand of Turkey is predicted for the 2013–2025 period by using an optimized Grey Modeling (1,1) forecasting technique ...
This paper develops a novel hybrid forecasting model (EMD-SVR-PSO-AR-GARCH) for forecasting electricity consumption.
This study is a proposition of a new approach by comparing grey prediction and ARIMA models with Model of Analysis of the Energy Demand (MAED) from 1970 until ...
The objective of this study was to make an estimation of the electricity demand for Turkey's mainland with the use of mixed methods of MNN, WAO, and SVM.
Forecasting the annual electricity consumption of Turkey using an optimized grey model ... "A Hybrid Model of VMD-EMD-FFT, Similar Days ... "Forecasting Energy ...
In this study, three different grey forecasting models are built and used for modeling and predicting yearly net electricity consumption in Turkey. Additionally ...
Forecasting Turkish electricity consumption: A critical analysis of single and hybrid models · List of references · Publications that cite this publication.