Short-term solar irradiance forecasting based on a novel Bayesian optimized deep Long Short-Term Memory neural network
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DOI: 10.1016/j.apenergy.2022.119727
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- Amir A. Imam & Abdullah Abusorrah & Mustafa M. A. Seedahmed & Mousa Marzband, 2024. "Accurate Forecasting of Global Horizontal Irradiance in Saudi Arabia: A Comparative Study of Machine Learning Predictive Models and Feature Selection Techniques," Mathematics, MDPI, vol. 12(16), pages 1-25, August.
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- Michael, Neethu Elizabeth & Bansal, Ramesh C. & Ismail, Ali Ahmed Adam & Elnady, A. & Hasan, Shazia, 2024. "A cohesive structure of Bi-directional long-short-term memory (BiLSTM) -GRU for predicting hourly solar radiation," Renewable Energy, Elsevier, vol. 222(C).
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- Lee, Seonho & Kim, Jiwon & Byun, Jaewon & Joo, Junghee & Lee, Yoonjae & Kim, Taehyun & Hwangbo, Soonho & Han, Jeehoon & Kim, Sung-Kon & Lee, Jechan, 2023. "Environmentally-viable utilization of chicken litter as energy recovery and electrode production: A machine learning approach," Applied Energy, Elsevier, vol. 350(C).
- Peng, Simin & Zhu, Junchao & Wu, Tiezhou & Yuan, Caichenran & Cang, Junjie & Zhang, Kai & Pecht, Michael, 2024. "Prediction of wind and PV power by fusing the multi-stage feature extraction and a PSO-BiLSTM model," Energy, Elsevier, vol. 298(C).
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Keywords
Deep learning; Hyperparameter; LSTM neural network; Solar irradiance prediction;All these keywords.
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