A Novel Anomaly Forecasting in Time‐Series Data: Feedback Connection between Forecasting and Detecting Algorithms with Applications to Power Systems
This article is concerned with developing a novel structure of machine learning‐based anomaly forecasting, by which both forecasting the future states and detecting the anomalies in these states can be achieved at the same time. The main idea of this article is to introduce a feedback connection to...
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| Main Authors: | Hyung Tae Choi, Hae Yeon Park, Taewan Kim, Jung Hoon Kim |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-05-01
|
| Series: | Advanced Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aisy.202401141 |
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