Forecasting of Solar Power Generation Using Hybrid Empirical Mode Decomposition and Adaptive Neuro-Fuzzy Inference System
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8007-9_24
Reference11 articles.
1. Jang JSR (1993) ANFIS: adaptive network based fuzzy inference system. IEEE Trans Syst Man Cybern 23(3):665–685
2. Su H-Y, Liu T-Y, Hong H-H (2020) Adaptive residual compensation ensemble models for improving solar energy generation forecasting. IEEE Trans Sustain Energy 11(2):1103–1105
3. Lahmiri S (2017) Comparing variational and empirical mode decomposition in forecasting day-ahead energy prices. IEEE Syst J 11(3):1907–1910
4. Mathew NJ, Behera RK (2022) EMD-Att-LSTM: a data-driven strategy combined with deep learning for short-term load forecasting. J Mod Power Syst Clean Energy 10(5):1229–1240
5. Kampouropoulos K, Andrade F, Sala E, Espinosa AG, Romeral L (2018) Multiobjective optimization of multi-carrier energy system using a combination of ANFIS and genetic algorithms. IEEE Trans Smart Grid 9(3):2276–2283
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