20 datasets found

Time series forecasting is a relevant task that is performed in several real-world scenarios such as product sales analysis and prediction of energy demand.

The dataset used in the paper for time series forecasting tasks

The dataset used in the paper is a linear model with missing information, where some entries are missing and need to be completed.

The dataset used in the paper for time series forecasting tasks

The dataset used in the paper for time series forecasting tasks

The M4 dataset contains 100,000 time series with different seasonal periods from various domains.

The M4 dataset consists of human-written texts from several data sources, including Wikipedia, Reddit, and arXiv in the English subset of the dataset. It pairs the human-written...

Electricity2, Traffic3, and Wikipedia4, preprocessed exactly as in (Salinas et al., 2019a), with their properties listed in Table 3.

Electricity2, Traffic3, and Wikipedia4, preprocessed exactly as in (Salinas et al., 2019a), with their properties listed in Table 3.

The M4 competition dataset is a collection of time series data from six domains: micro, industry, macro, finance, demographic, and other.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used it for time series forecasting tasks.

Temperature dataset for time series forecasting

Multivariate time series forecasting is an important machine learning problem across many domains, including predictions of solar plant energy output, electricity consumption,...

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...

Multivariate Time Series forecasting dataset

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

Time series forecasting via learning convolutionally low-rank models