Using Atmospheric Pressure Tendency to Optimise Battery Charging in Off-Grid Hybrid Wind-Diesel Systems for Telecoms
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- Colak, Ilhami & Sagiroglu, Seref & Yesilbudak, Mehmet, 2012. "Data mining and wind power prediction: A literature review," Renewable Energy, Elsevier, vol. 46(C), pages 241-247.
- Lujano-Rojas, Juan M. & Dufo-López, Rodolfo & Bernal-Agustín, José L., 2012. "Optimal sizing of small wind/battery systems considering the DC bus voltage stability effect on energy capture, wind speed variability, and load uncertainty," Applied Energy, Elsevier, vol. 93(C), pages 404-412.
- Hu, Yu & Solana, Pablo, 2013. "Optimization of a hybrid diesel-wind generation plant with operational options," Renewable Energy, Elsevier, vol. 51(C), pages 364-372.
- Saheb-Koussa, D. & Haddadi, M. & Belhamel, M., 2009. "Economic and technical study of a hybrid system (wind-photovoltaic-diesel) for rural electrification in Algeria," Applied Energy, Elsevier, vol. 86(7-8), pages 1024-1030, July.
- Kaldellis, J.K., 2010. "Optimum hybrid photovoltaic-based solution for remote telecommunication stations," Renewable Energy, Elsevier, vol. 35(10), pages 2307-2315.
- Foley, Aoife M. & Leahy, Paul G. & Marvuglia, Antonino & McKeogh, Eamon J., 2012. "Current methods and advances in forecasting of wind power generation," Renewable Energy, Elsevier, vol. 37(1), pages 1-8.
- Jing Li & Wei Wei & Ji Xiang, 2012. "A Simple Sizing Algorithm for Stand-Alone PV/Wind/Battery Hybrid Microgrids," Energies, MDPI, vol. 5(12), pages 1-17, December.
- Bajpai, Prabodh & Dash, Vaishalee, 2012. "Hybrid renewable energy systems for power generation in stand-alone applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2926-2939.
- Zhou, Li, 2005. "Progress and problems in hydrogen storage methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 9(4), pages 395-408, August.
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- Elena Sosnina & Andrey Dar’enkov & Andrey Kurkin & Ivan Lipuzhin & Andrey Mamonov, 2022. "Review of Efficiency Improvement Technologies of Wind Diesel Hybrid Systems for Decreasing Fuel Consumption," Energies, MDPI, vol. 16(1), pages 1-38, December.
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Keywords
hybrid; wind; pressure; Simulink; DC; generator; short-term prediction;All these keywords.
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