Quantifying rooftop photovoltaic solar energy potential: A machine learning approach von Assouline, Dan, Mohajeri, Nahid, Scartezzini, Jean-Louis

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Large-scale rooftop solar photovoltaic technical potential estimation using Random Forests von Assouline, Dan, Mohajeri, Nahid, Scartezzini, Jean-Louis

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Effects of urban compactness on solar energy potential von Mohajeri, Nahid, Upadhyay, Govinda, Gudmundsson, Agust, Assouline, Dan, Kämpf, Jérôme, Scartezzini, Jean-Louis

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A machine learning approach for mapping the very shallow theoretical geothermal potential von Assouline, Dan, Mohajeri, Nahid, Gudmundsson, Agust, Scartezzini, Jean-Louis

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Development and validation of a knowledge-based score to predict Fried's frailty phenotype across multiple settings using one-year hospital discharge data: The electronic frailty s... von Le Pogam, Marie-Annick, Seematter-Bagnoud, Laurence, Niemi, Tapio, Assouline, Dan, Gross, Nathan, Trächsel, Bastien, Rousson, Valentin, Peytremann-Bridevaux, Isabelle, Burnand, Bernard, Santos-Eggimann, Brigitte

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Exploring Patient Multimorbidity and Complexity Using Health Insurance Claims Data: A Cluster Analysis Approach von Nicolet, Anna, Assouline, Dan, Le Pogam, Marie-Annick, Perraudin, Clémence, Bagnoud, Christophe, Wagner, Joël, Marti, Joachim, Peytremann-Bridevaux, Isabelle

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A city-scale roof shape classification using machine learning for solar energy applications von Mohajeri, Nahid, Assouline, Dan, Guiboud, Berenice, Bill, Andreas, Gudmundsson, Agust, Scartezzini, Jean-Louis

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A machine learning methodology to quantify the potential of urban densification in the Oxford-Cambridge Arc, United Kingdom von Mohajeri, Nahid, Walch, Alina, Smith, Alison, Gudmundsson, Agust, Assouline, Dan, Russell, Tom, Hall, Jim

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Machine learning and geographic information systems for large-scale wind energy potential estimation in rural areas von Assouline, Dan, Mohajeri, Nahid, Mauree, Dasaraden, Scartezzini, Jean-Louis

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Effects of city size on the large-scale decentralised solar energy potential von Mohajeri, Nahid, Assouline, Dan, Gudmundsson, Agust, Scartezzini, Jean-Louis

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MAgNet: Mesh Agnostic Neural PDE Solver von Boussif, Oussama, Assouline, Dan, Benabbou, Loubna, Bengio, Yoshua

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Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context von Boussif, Oussama, Boukachab, Ghait, Assouline, Dan, Massaroli, Stefano, Yuan, Tianle, Benabbou, Loubna, Bengio, Yoshua

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A machine learning methodology to quantify the potential of urban densification in the Oxford-Cambridge Arc, United Kingdom von Mohajeri, Nahid, Walch, Alina, Smith, Alison, Gudmundsson, Agust, Assouline, Dan, Russell, Tom, Hall, Jim

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MAgNet: Mesh Agnostic Neural PDE Solver von Boussif, Oussama, Assouline, Dan, Benabbou, Loubna, Bengio, Yoshua

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Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context von Boussif, Oussama, Boukachab, Ghait, Assouline, Dan, Massaroli, Stefano, Yuan, Tianle, Benabbou, Loubna, Bengio, Yoshua

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Estimation of Large-Scale Solar Rooftop PV Potential for Smart Grid Integration: A Methodological Review von Assouline, Dan, Mohajeri, Nahid, Scartezzini, Jean-Louis

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Machine Learning and Geographic Information Systems for large-scale mapping of renewable energy potential von Assouline, Dan

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Quantifying rooftop photovoltaic solar energy potential: A machine learning approach von Assouline, Dan, Mohajeri, Nahid, Scartezzini, Jean-Louis

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A machine learning methodology for estimating roof-top photovoltaic solar energy potential in Switzerland von Assouline, Dan, Mohajeri, Nahid, Scartezzini, Jean-Louis

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Machine learning and geographic information systems for large-scale wind energy potential estimation in rural areas von Assouline, Dan, Mohajeri, Nahid, Mauree, Dasaraden, Scartezzini, Jean-Louis

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