Time Series Forcasting
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https://ieee-dataport.org/documents/time-series-forcasting
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资源简介：
The Time Series Library (TSL) bundles widely used long-horizon forecasting benchmarks spanning diverse domains\u2014energy (ETTh1\/ETTh2\/ETTm1\/ETTm2, Electricity\/ECL), transportation (Traffic), climate (Weather), macro-finance (Exchange), and public health (Illness\/ILI). These datasets cover granularities from 15-minute to daily, with input windows typically 96\u2013720 steps and forecast horizons matching 96\/192\/336\/720. They feature real-world challenges such as non-stationarity, seasonal-trend interactions, regime shifts, missing values, and sensor noise. Standard splits (train\/val\/test) and metrics (MSE\/MAE) enable consistent comparison across models, while cross-dataset and cross-domain transfers support evaluation of robustness and generalization.
提供机构：
Longfei Liu
