43 datasets found

The dataset used in the paper is a real-world dataset for time series forecasting, which is used to evaluate the performance of the proposed MG-TSD model.

The dataset used in the paper is a real-world dataset for time series forecasting, which is used to evaluate the performance of the proposed Multi-Granularity Time Series...

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 PhysioNet dataset, which contains 8000 time series from ICU stays, each containing measurements from the first 48 hours of a different...

The dataset used in the paper is the MISO dataset, which contains actual energy price and actual load in the year 2021 from the Midwest Independent Transmission System Operator...

The dataset used in the paper is the Orderbook dataset, which contains high-frequency trading orderbooks collected from real stock markets.

The authors used synthetic datasets with temporal dependencies and actions. The datasets have 1 million examples, with dimensionality of X t = 20 and ground-truth f is a random...

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.

Multivariate Time Series forecasting dataset

Daily stock volume forecasting with advanced information using Conditional Variational Auto-Encoder

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

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

Rainfall datasets from major cities across the United States

The dataset used in the paper is a synthetic dataset for off-policy contextual bandits, with contexts x ∈ X, a finite set of actions A, and bounded real rewards r ∈ A → [0, 1].

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).

The dataset used in this work is a custom synthetic dataset generated using the liquid-dsp library, containing 600000 examples of each of 13.8 million examples, with SNRs...

TSDL dataset

M4 Competition dataset