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Soft computing based optimization of combined cycled power plant start-up operation with fitness approximation methods.

, , , and . Appl. Soft Comput., 11 (6): 4110-4116 (2011)

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A Study of Nature-Inspired Methods for Financial Trend Reversal Detection., , and . EvoApplications (2), volume 6025 of Lecture Notes in Computer Science, page 161-170. Springer, (2010)Predictability of Solar Radiation for Photovoltaics systems over Europe: from short-term to seasonal time-scales, , and . EGU General Assembly 2014, 16, (2014)Electricity demand forecasting over Italy: Potential benefits using numerical weather prediction models, , and . Electric Power Systems Research, (November 2013)Short-Term Predictability of Photovoltaic Production over Italy., , and . CoRR, (2014)Scoping the potential usefulness of seasonal climate forecasts for solar power management, , , and . (September 2018)Neural networks ensembles for short-term load forecasting., and . CIASG, page 61-68. IEEE, (2011)Soft computing based optimization of combined cycled power plant start-up operation with fitness approximation methods., , , and . Appl. Soft Comput., 11 (6): 4110-4116 (2011)Evolutionary Algorithms for the Identification of Structural Systems in Earthquake Engineering., , , and . IJCCI (ECTA-FCTA), page 52-62. SciTePress, (2011)Short-term predictability of photovoltaic production over Italy, , and . Renewable Energy, (August 2015)Combining back-propagation and genetic algorithms to train neural networks for start-up time modeling in combined cycle power plants., , and . ESANN, (2010)