12 datasets found

The dataset used in the paper is COVID-19 forecasting dataset, which includes various covariates such as mobility indices, non-pharmaceutical interventions, hospital resource...

Mackey-Glass chaotic time series [19] and the Sunspot data set [20].

Time series forecasting using spectrograms and vision transformers

Beijing PM2.5 dataset for air pollution forecasting

The dataset used in this paper is a NARMA10 dataset.

The dataset used in the paper is the Solar dataset, containing solar power production records from 2006.

The dataset used in the paper is the U.S Historical Climatology Network (USHCN) dataset, containing daily climatological data from 1915 to 2000.

The dataset used in this paper for stochastic time series forecasting.

The dataset used in this paper for stochastic time series forecasting.

The dataset is a synthetic time series dataset, i.e., first order autoregression (AR1), and two real-world datasets, i.e., crude oil price (COP) and web traffic (WEB).

ECL (Electricity Consuming Load4): This electricity dataset represents the electricity consumption from 2011 to 2014 of 370 clients recorded in 15-minutes periods in Kilowatt (kW).

ETTh1 and ETTh2 (Electricity Transformer Temperature3): These real-world datasets for the electric power deployment introduced by [35] combine short-term periodical patterns,...