Short-Term Forecasts of DNI from an Integrated Forecasting System (ECMWF) for Optimized Operational Strategies of a Central Receiver System
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- Larson, David P. & Nonnenmacher, Lukas & Coimbra, Carlos F.M., 2016. "Day-ahead forecasting of solar power output from photovoltaic plants in the American Southwest," Renewable Energy, Elsevier, vol. 91(C), pages 11-20.
- Collado, Francisco J. & Guallar, Jesús, 2013. "A review of optimized design layouts for solar power tower plants with campo code," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 142-154.
- Walter Richardson & Hariharan Krishnaswami & Rolando Vega & Michael Cervantes, 2017. "A Low Cost, Edge Computing, All-Sky Imager for Cloud Tracking and Intra-Hour Irradiance Forecasting," Sustainability, MDPI, vol. 9(4), pages 1-17, March.
- Voyant, Cyril & Notton, Gilles, 2018. "Solar irradiation nowcasting by stochastic persistence: A new parsimonious, simple and efficient forecasting tool," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 343-352.
- Kearney, D. & Kelly, B. & Herrmann, U. & Cable, R. & Pacheco, J. & Mahoney, R. & Price, H. & Blake, D. & Nava, P. & Potrovitza, N., 2004. "Engineering aspects of a molten salt heat transfer fluid in a trough solar field," Energy, Elsevier, vol. 29(5), pages 861-870.
- Aguiar, L. Mazorra & Pereira, B. & Lauret, P. & Díaz, F. & David, M., 2016. "Combining solar irradiance measurements, satellite-derived data and a numerical weather prediction model to improve intra-day solar forecasting," Renewable Energy, Elsevier, vol. 97(C), pages 599-610.
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- Lopes, Francis M. & Conceição, Ricardo & Silva, Hugo G. & Salgado, Rui & Collares-Pereira, Manuel, 2021. "Improved ECMWF forecasts of direct normal irradiance: A tool for better operational strategies in concentrating solar power plants," Renewable Energy, Elsevier, vol. 163(C), pages 755-771.
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Keywords
short-term forecasts; direct normal irradiance; concentrating solar power; system advisor model; operational strategies; central solar receiver;All these keywords.
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