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SVAR-LiNGAM
The dataset used in the paper to analyze the causal relationships among the four time series variables. -
METR-LA Traffic Forecasting Dataset
The METR-LA traffic forecasting dataset contains time series data from 16 sensors. -
BBOXX Ltd. Battery Energy Storage Systems Dataset
The dataset contains time series data for over 300,000 batteries, including different chemistries, cell capacities, and manufacturers. -
Building Data Genome 2.0 (BDG2.0)
Building Data Genome 2.0 (BDG2.0) dataset comprises hourly time-series data from electrical meters, sourced from the BDG2 project, for modeling purposes. -
InertialHAR
The dataset used in the paper is a large unstructured industrial dataset. -
Chinese A-share stock market data
The dataset used in this paper is a collection of financial time series data, including daily open price, high price, low price, close price, and trading volume. -
Brazil Wind and Solar Power Generation Data
The dataset used in this paper is a real-world wind and solar power generation data from the Brazil system. -
Energy Consumption Data
The dataset is not explicitly described in the paper, but it is mentioned as a real-world dataset for energy consumption from 02/2011-02/2013.
