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Call for Proposals: African Development Fund CAW Adaptation Sub-window

Call for Proposals: African Development Fund CAW Adaptation Sub-window
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New Method for More Accurate Wind Speed Forecasting

Wind-generated electricity is poised to assume a pivotal role in the global energy landscape as the world shifts away from fossil fuels towards renewable sources.

Fuzhan nasiriAnton kaifelSkyla bailyPilar monsalveteRamanunni menonUrsula eickerMatt artzCanada excellence researchConcordia university next generation cities instituteVehicle battery technology industryAgency institutional program secretariatConcordia university montrealSolar energyInternational energy agencyDepartment of buildingRecurrent neural networks

Concordia Study: Enhanced Wind Forecasts Boost Urban Power

Concordia Study: Enhanced Wind Forecasts Boost Urban Power
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Ramanunni menonUrsula eickerPilar monsalveteAnton kaifelFuzhan nasiriRecurrent neural networksCanada excellence researchAgency institutional program secretariatCentre for solar energyGeneration cities instituteHydrogen research in stuttgartDepartment of buildingConcordia universityGina cody school of engineeringInternational energy agencyEnvironmental engineering

Improved wind speed forecasts can help urban

Researchers at Concordia University present a new wind speed forecasting model that they say can help urban microgrids plan and manage electricity generation. Navid Shirzadi Ph.D. used data from a Weibull probability distribution and numerical weather prediction models and fed it into a recurrent neural network. He says his model improves forecasting by over 30 percent over a 48-horizon.

Pilar monsalveteAnton kaifelUrsula eickerRamanunni menonFuzhan nasiriRecurrent neural networksGina cody school of engineeringCentre for solar energyDepartment of buildingInternational energy agencyHydrogen research in stuttgartCanada excellence researchAgency institutional program secretariatConcordia universityMethod of researchGeneration cities institute