Echo State Network with Bayesian Regularization for Forecasting Short-Term Power Production of Small Hydropower Plants
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- Monteiro, Claudio & Ramirez-Rosado, Ignacio J. & Fernandez-Jimenez, L. Alfredo, 2013. "Short-term forecasting model for electric power production of small-hydro power plants," Renewable Energy, Elsevier, vol. 50(C), pages 387-394.
- Abbasi, Tasneem & Abbasi, S.A., 2011. "Small hydro and the environmental implications of its extensive utilization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 2134-2143, May.
- Deihimi, Ali & Orang, Omid & Showkati, Hemen, 2013. "Short-term electric load and temperature forecasting using wavelet echo state networks with neural reconstruction," Energy, Elsevier, vol. 57(C), pages 382-401.
- Deihimi, Ali & Showkati, Hemen, 2012. "Application of echo state networks in short-term electric load forecasting," Energy, Elsevier, vol. 39(1), pages 327-340.
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Cited by:
- Shaojun Yang & Hua Wei & Le Zhang & Shengchao Qin, 2021. "Daily Power Generation Forecasting Method for a Group of Small Hydropower Stations Considering the Spatial and Temporal Distribution of Precipitation—South China Case Study," Energies, MDPI, vol. 14(15), pages 1-19, July.
- Yuzgec, Ugur & Dokur, Emrah & Balci, Mehmet, 2024. "A novel hybrid model based on Empirical Mode Decomposition and Echo State Network for wind power forecasting," Energy, Elsevier, vol. 300(C).
- Fan Yang & Yongan Wang & Manling Dong & Xiaokuo Kou & Degui Yao & Xing Li & Bing Gao & Irfan Ullah, 2017. "A Cycle Voltage Measurement Method and Application in Grounding Grids Fault Location," Energies, MDPI, vol. 10(11), pages 1-18, November.
- Lintao Yang & Honggeng Yang, 2019. "Analysis of Different Neural Networks and a New Architecture for Short-Term Load Forecasting," Energies, MDPI, vol. 12(8), pages 1-23, April.
- Gabriel Trierweiler Ribeiro & João Guilherme Sauer & Naylene Fraccanabbia & Viviana Cocco Mariani & Leandro dos Santos Coelho, 2020. "Bayesian Optimized Echo State Network Applied to Short-Term Load Forecasting," Energies, MDPI, vol. 13(9), pages 1-19, May.
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Keywords
SHP; power production forecasting; echo state network; Bayesian regularization;All these keywords.
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