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Energy forecasting with robust, flexible, and explainable machine learning algorithms., , , , , , , , , and 5 other author(s). AI Mag., 44 (4): 377-393 (December 2023)TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis., , , and . CIKM, page 2497-2507. ACM, (2022)Two-Stage Framework for Seasonal Time Series Forecasting., , and . ICASSP, page 3530-3534. IEEE, (2021)The 9th SIGKDD International Workshop on Mining and Learning from Time Series., , , , , and . KDD, page 5876-5877. ACM, (2023)RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series., , , , , and . AAAI, page 5409-5416. AAAI Press, (2019)AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes., , , , , , , , and . AAAI, page 15621-15629. AAAI Press, (2023)TreeDRNet: A Robust Deep Model for Long Term Time Series Forecasting., , , , , , and . CoRR, (2022)Benchmarks and Custom Package for Electrical Load Forecasting., , , , , and . CoRR, (2023)Time Series Data Augmentation for Deep Learning: A Survey., , , , , and . CoRR, (2020)RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicities Detection., , , , , and . CoRR, (2020)