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Quantile-Mixer: A Novel Deep Learning Approach for Probabilistic Short-Term Load Forecasting.

, and . IEEE Trans. Smart Grid, 15 (2): 2237-2250 (2024)

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Deep neural network based demand side short term load forecasting., , and . SmartGridComm, page 308-313. IEEE, (2016)A framework for baseline load estimation in demand response: Data mining approach., , , and . SmartGridComm, page 638-643. IEEE, (2014)Short-Term Load Forecasting based on ResNet and LSTM., , and . SmartGridComm, page 1-6. IEEE, (2018)Gaussian Residual Bidding Based Coalition for Two-Settlement Renewable Energy Market., , , and . IEEE Access, (2018)Machine Learning-Based Lithium-Ion Battery Capacity Estimation Exploiting Multi-Channel Charging Profiles., , , and . IEEE Access, (2019)Probabilistic deep learning model as a tool for supporting the fast simulation of a thermal-hydraulic code., , , , , and . Expert Syst. Appl., (2022)Quantile Autoencoder With Abnormality Accumulation for Anomaly Detection of Multivariate Sensor Data., , , , and . IEEE Access, (2022)Can Untrained Neural Networks Detect Anomalies?, , and . IEEE Trans. Ind. Informatics, 20 (4): 6477-6488 (April 2024)Denoising Autoencoder-Based Missing Value Imputation for Smart Meters., , and . IEEE Access, (2020)An approach to constructing effective training data for a classification model to evaluate the reliability of a passive safety system., , , , and . Reliab. Eng. Syst. Saf., (2022)