Load forecasting under data corruption based on anomaly detection and combined robust regression

Research article (International Transactions on Electrical Energy Systems, 2019) · cited 22× · AI/ML
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Load forecasting under data corruption based on anomaly detection and combined robust regression

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Load forecasting under data corruption based on anomaly detection and combined robust regression is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Load forecasting under data corruption based on anomaly detection and combined robust regression. Retrieved May 24, 2026, from https://4ort.xyz/entity/load-forecasting-under-data-corruption-based-on-anomaly-detection-and-combined-robust-regression
MLA “Load forecasting under data corruption based on anomaly detection and combined robust regression.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/load-forecasting-under-data-corruption-based-on-anomaly-detection-and-combined-robust-regression.
BibTeX @misc{4ortxyz_load-forecasting-under-data-corruption-based-on-anomaly-detection-and-combined-robust-regression_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Load forecasting under data corruption based on anomaly detection and combined robust regression}}, year = {2026}, url = {https://4ort.xyz/entity/load-forecasting-under-data-corruption-based-on-anomaly-detection-and-combined-robust-regression}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Load forecasting under data corruption based on anomaly detection and combined robust regression — https://4ort.xyz/entity/load-forecasting-under-data-corruption-based-on-anomaly-detection-and-combined-robust-regression (retrieved 2026-05-24)

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