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matteodefelice

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Supporting the Energy Union with data & knowledge
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My presentation at ICEM 2017: From data mining to information extraction: using machine-learning to model hydro-power production in Europe
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Measuring the benefits of climate forecasts
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Learning by Redundancy: how climate multi-model ensembles can help to fight the uncertainty
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Learning from data: data mining approaches for Energy & Weather/Climate applications
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Application of seasonal climate forecasts for electricity demand forecasting: a case study on Italy
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Anes tdec2012
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Gecco 2011 - Effects of Topology on the diversity of spatially-structured evolutionary algorithms
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[Italian] ENEA Seminar - Computational Intelligence and Energy Systems: intelligent solutions for complex problems
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IEEE SSCI 2011 Talk - Neural Networks Ensembles for Short-Term Load Forecasting
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Ph.D. Presentation
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ENEA My Activities
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Soft Computing - Lezione di Controlli Automatici
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EVEN Presentation - April 2009
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