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Short-Term Predictability of Photovoltaic Production over Italy., , и . CoRR, (2014)Scoping the potential usefulness of seasonal climate forecasts for solar power management, , , и . (сентября 2018)Neural networks ensembles for short-term load forecasting., и . CIASG, стр. 61-68. IEEE, (2011)A Study of Nature-Inspired Methods for Financial Trend Reversal Detection., , и . EvoApplications (2), том 6025 из Lecture Notes in Computer Science, стр. 161-170. Springer, (2010)Predictability of Solar Radiation for Photovoltaics systems over Europe: from short-term to seasonal time-scales, , и . EGU General Assembly 2014, 16, (2014)Electricity demand forecasting over Italy: Potential benefits using numerical weather prediction models, , и . Electric Power Systems Research, (ноября 2013)Overcoming the disconnect between energy system and climate modeling, , , , , , , , , и 13 other автор(ы). Joule, (2022)Can we predict solar radiation at seasonal time-scale over Europe? A renewable energy perspective., и . EGU General Assembly 2015, 17, (2015)A Comparison between Nature-Inspired and Machine Learning Approaches to Detecting Trend Reversals in Financial Time Series., , и . Natural Computing in Computational Finance (4), том 380 из Studies in Computational Intelligence, Springer, (2012)Seasonal climate forecasts for medium-term electricity demand forecasting, , и . Applied Energy, (января 2015)