RETRACTED: Syah et al. Forecasting Daily Electricity Price by Hybrid Model of Fractional Wavelet Transform, Feature Selection, Support Vector Machine and Optimization Algorithm. Electronics 2021, 10, 2214

Rahmad Syah; Afshin Davarpanah; Marischa Elveny; Ashish Kumar Karmaker; Mahyuddin K. M. Nasution; Md. Alamgir Hossain

doi:10.3390/electronics14173561

September 8, 2025ElectronicsOpen Access

RETRACTED: Syah et al. Forecasting Daily Electricity Price by Hybrid Model of Fractional Wavelet Transform, Feature Selection, Support Vector Machine and Optimization Algorithm. Electronics 2021, 10, 2214

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Key Points

Forecasting models aim to accurately predict daily electricity prices using advanced techniques.
Key components include fractional wavelet transform and support vector machine approaches alongside optimization algorithms.
This research applies hybrid modeling methods for enhanced predictive capabilities in electricity market analysis.
The study highlights the importance of feature selection in improving forecasting precision and reliability.

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Implication

Analysis of electricity price forecasting methods utilizing support vector machines and optimization algorithms, indicating potential advancements in pricing accuracy.

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Cite This Study

Syah et al. (2025) studied this question.

synapsesocial.com/papers/68c198b59b7b07f3a061a1d3 https://doi.org/10.3390/electronics14173561

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RETRACTED: Syah et al. Forecasting Daily Electricity Price by Hybrid Model of Fractional Wavelet Transform, Feature Selection, Support Vector Machine and Optimization Algorithm. Electronics 2021, 10, 2214

Key Points

No abstract yet

Implication

Discussion

Cite This Study

RETRACTED: Syah et al. Forecasting Daily Electricity Price by Hybrid Model of Fractional Wavelet Transform, Feature Selection, Support Vector Machine and Optimization Algorithm. Electronics 2021, 10, 2214

Key Points

No abstract yet

Implication

Discussion

Cite This Study

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