To ensure critical infrastructure is operating as expected, high-quality sensors are
increasingly installed. However, due to the enormous amounts of high-frequency time series …

With the lowering costs of sensors, high-volume and high-velocity data are increasingly
being generated and analyzed, especially in IoT domains like energy and smart homes …

Abstract Modern Renewable Energy System (RES) installations, eg, wind turbines, produce
petabytes of high-frequency time series. State-of-the-art systems cannot cope with such …

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 …

In this work, we study the compression of multichannel signals with irregular sampling rates
and data gaps. We consider state-of-the-art algorithms, which were originally designed to …

Modern Renewable Energy System (RES) installations, eg, wind turbines, produce
petabytes of high-frequency time series. Stateof-the-art systems cannot cope with such …

In this paper, we propose an improved technique called HAB (Huffman encoding Aware
Bitpacking) that enhances the Sprintz method, which is a representative time series data …