Published June 1, 2026
| Version v1
Dataset
Open
EnergyTS TimeSeries Dataset with Price
Authors/Creators
Description
We provide an evaluation benchmark for the following scenario:
- Day-ahead electricity price forecasting - Prediction of electricity market prices for the next day based on datetime information. This scenario contains multiple sub-datasets. The datasets are mainly generated based on a Structural Causal Model (SCM) technical framework. Centered on the operational logic of power systems, a directed acyclic graph (DAG) is used to characterize the causal relationships among load, renewable power generation, unit status, grid constraints, and locational marginal prices. Samples are then generated based on the electricity market clearing mechanism.
The evaluation script corresponding to the current dataset can be accessed at https://github.com/antgroup/Energy-EVA for assessment.
Files
EnergyEVA_Timeseries_Dataset_with_Price.zip
Files
(2.4 MB)
| Name | Size | Download all |
|---|---|---|
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md5:6a9683d1d0d790c5d0f0d4afc2dce9d7
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2.4 MB | Preview Download |
Additional details
Software
- Repository URL
- https://github.com/antgroup/Energy-EVA
- Programming language
- Python
- Development Status
- Active