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Evolutionary techniques applied to the optimal short-term scheduling of the electrical energy production.

, , , and . Eur. J. Oper. Res., 185 (3): 1114-1127 (2008)

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An evolutionary algorithm to discover quantitative association rules in multidimensional time series., , , and . Soft Comput., 15 (10): 2065-2084 (2011)Correlation-Based Scatter Search for Discovering Biclusters from Gene Expression Data., , and . EvoBIO, volume 6023 of Lecture Notes in Computer Science, page 122-133. Springer, (2010)Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand., , , and . Inf. Sci., (2020)A novel spark-based multi-step forecasting algorithm for big data time series., , , and . Inf. Sci., (2018)Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming., , , and . CAEPIA, volume 12882 of Lecture Notes in Computer Science, page 185-195. Springer, (2021)A factorization approach to evaluate open-response assignments in MOOCs using preference learning on peer assessments., , , , and . Knowl. Based Syst., (2015)Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals., , , and . IWANN (1), volume 14134 of Lecture Notes in Computer Science, page 626-637. Springer, (2023)Finding Electric Energy Consumption Patterns in Big Time Series Data., , , and . DCAI, volume 474 of Advances in Intelligent Systems and Computing, page 231-238. Springer, (2016)Inferring gene coexpression networks with Biclustering based on Scatter Search., , and . ISDA, page 1091-1096. IEEE, (2011)Time-Series Prediction: Application to the Short-Term Electric Energy Demand., , , , and . CAEPIA, volume 3040 of Lecture Notes in Computer Science, page 577-586. Springer, (2003)