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Pattern-based Forecasting of Monthly Electricity Demand using Support Vector Machine.. IJCNN, page 1-8. IEEE, (2021)Ensembles of Randomized Neural Networks for Pattern-Based Time Series Forecasting., and . ICONIP (3), volume 13110 of Lecture Notes in Computer Science, page 418-430. Springer, (2021)3ETS+RD-LSTM: A New Hybrid Model for Electrical Energy Consumption Forecasting., , and . ICONIP (3), volume 12534 of Lecture Notes in Computer Science, page 519-531. Springer, (2020)Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand., , , and . CoRR, (2024)Pattern Similarity-based Machine Learning Methods for Mid-term Load Forecasting: A Comparative Study., and . CoRR, (2020)Pattern-Based Forecasting Monthly Electricity Demand Using Multilayer Perceptron., and . ICAISC (1), volume 11508 of Lecture Notes in Computer Science, page 663-672. Springer, (2019)Ensemble Forecasting of Monthly Electricity Demand Using Pattern Similarity-Based Methods., and . ICAISC (1), volume 12415 of Lecture Notes in Computer Science, page 712-723. Springer, (2020)Forecasting Cryptocurrency Prices Using Contextual ES-adRNN with Exogenous Variables., , and . ICCS (1), volume 14073 of Lecture Notes in Computer Science, page 450-464. Springer, (2023)Pattern-based Long Short-term Memory for Mid-term Electrical Load Forecasting., and . IJCNN, page 1-8. IEEE, (2020)A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting., , and . CoRR, (2020)