The dataset used in this paper is a collection of synthetic oscillating time series, including monochromatic, amplitude- and frequency-modulated sine waves.
In this research, we create synthetic data with features that are like data from IoT devices. We use an existing air quality dataset that includes temperature and gas sensor measurements. This real-ti
This dataset provides a collection of synthetic time series designed for benchmarking forecasting models in controlled, unbiased conditions. The data are generated from combinations of sinusoidal sign
