Datasets used for Prior Symbolic-guided Time-Frequency Kolmogorov-Arnold Network for Interpretable Time Series Forecasting
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For long-term time series forecasting, there are eight well-established benchmarks for comprehensive comparison, including: Electricity Transformer Temperature (ETT) (1-hour level subsets ETTh1 and ETTh2, and 15-minute level subsets ETTm1 and ETTm2), Electricity (https:\/\/archive.ics.uci.edu\/ml\/datasets\/ElectricityLoadDiagrams20112014), Traffic (http:\/\/pems.dot.ca.gov\/), Weather (https:\/\/www.bgc-jena.mpg.de\/wetter\/), and Exchange Rate Multivariate (Exchange).For short-term time series forecasting, the M4 benchmark provides a comprehensive comparison across various time intervals, including yearly, quarterly, monthly, weekly, daily, and hourly.
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Ziran LIANG
