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A Comparison of Two Techniques for Next-Day Electricity Price Forecasting.

, , , , and . IDEAL, volume 2412 of Lecture Notes in Computer Science, page 384-390. Springer, (2002)

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Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences., , and . IDA, volume 5772 of Lecture Notes in Computer Science, page 357-368. Springer, (2009)A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables., , , and . Neurocomputing, (2015)Computational Intelligence Techniques for Predicting Earthquakes., , , and . HAIS (2), volume 6679 of Lecture Notes in Computer Science, page 287-294. Springer, (2011)Energy Time Series Forecasting Based on Pattern Sequence Similarity., , , and . IEEE Trans. Knowl. Data Eng., 23 (8): 1230-1243 (2011)Biclustering of Gene Expression Data by Correlation-Based Scatter Search., , and . BioData Min., (2011)ra A Sensitivity Analysis for Quality Measures of Quantitative Association Rules., , , and . HAIS, volume 8073 of Lecture Notes in Computer Science, page 578-587. Springer, (2013)Application of Evolutionary Computation Techniques to the Optimal Short-Term Scheduling of the Electrical Energy Production., , , , and . CAEPIA, volume 3040 of Lecture Notes in Computer Science, page 656-665. Springer, (2003)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)