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Pattern-based Long Short-term Memory for Mid-term Electrical Load Forecasting.

, and . IJCNN, page 1-8. IEEE, (2020)

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Variable Selection in the Kernel Regression Based Short-Term Load Forecasting Model.. ICAISC (2), volume 7268 of Lecture Notes in Computer Science, page 557-563. Springer, (2012)Improving Randomized Learning of Feedforward Neural Networks by Appropriate Generation of Random Parameters.. IWANN (1), volume 11506 of Lecture Notes in Computer Science, page 517-530. Springer, (2019)Artificial Immune System With Local Feature Selection for Short-Term Load Forecasting.. IEEE Trans. Evol. Comput., 21 (1): 116-130 (2017)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)Extreme learning machine for function approximation - interval problem of input weights and biases.. CYBCONF, page 62-67. IEEE, (2015)Artificial Immune System for Short-Term Electric Load Forecasting.. ICAISC, volume 5097 of Lecture Notes in Computer Science, page 1007-1017. Springer, (2008)A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting., , and . CoRR, (2020)Ensemble of Randomized Neural Networks with STD Decomposition for Forecasting Time Series with Complex Seasonality.. IWANN (1), volume 14134 of Lecture Notes in Computer Science, page 690-702. Springer, (2023)Randomized Neural Networks for Forecasting Time Series with Multiple Seasonality.. IWANN (2), volume 12862 of Lecture Notes in Computer Science, page 196-207. Springer, (2021)