Why model-based lossy compression is great for wind turbine analytics

SK Jensen, C Thomsen, TB Pedersen… - 2024 IEEE 40th …, 2024 - ieeexplore.ieee.org
Modern wind turbines are equipped with wired high-quality sensors that produce high-
frequency sensor data in the form of time series as shown in Figure 1 a. From working with …

CAMEO: Autocorrelation-Preserving Line Simplification for Lossy Time Series Compression

CE Muñiz-Cuza, M Boehm, TB Pedersen - arXiv preprint arXiv:2501.14432, 2025 - arxiv.org
Time series data from a variety of sensors and IoT devices need effective compression to
reduce storage and I/O bandwidth requirements. While most time series databases and …

[PDF][PDF] Scalable Model-Based Management of Massive High Frequency Wind Turbine Data with ModelarDB [Scalable Data Science]

A Abduvakhobov, SK Jensen, TB Pedersen… - vbn.aau.dk
Modern wind turbines are monitored by sensors that generate massive amounts of high
frequency time series that are ingested on the edge and then transferred to the cloud where …