遇见数据集

Global Dataset of Forecasted Hourly Electricity Demand from 2000 to 2024 Using DemandCast

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Zenodo2026-02-16 更新2026-05-26 收录
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The dataset included in this repository provides forecasted hourly electricity demand for multiple countries worldwide. The forecasts are generated using DemandCast, a demand forecasting framework trained on historical electricity demand, meteorological variables, and socioeconomic indicators. Hourly electricity demand forecasts are currently generated at the national level, with coverage for 184 countries. Comprehensive documentation of the modeling approach, data inputs, and generation pipeline is available in the DemandCast GitHub repository: https://github.com/open-energy-transition/demandcast. This repository contains the following files: forecasts_on_historical_period.parquetContains the model-generated hourly electricity demand forecasts over the historical period (2000–2024). These forecasts are produced by DemandCast using information available at the time of prediction. Not all countries have forecasts covering the entire historical period due to missing or insufficient input data. input_data_for_forecasting_on_historical_period.parquetProvides the full set of input features used to generate the historical forecasts, including meteorological variables and socioeconomic indicators. list_of_country_codes_not_yet_available.txtLists of country codes for which forecasts are not yet available due to missing or insufficient input data. trained_xgboost_model.jsonThe XGBoost model trained within the DemandCast framework.

本仓库收录的数据集提供了全球多国的逐小时电力需求预测结果。 该预测结果由DemandCast生成,其为一款基于历史电力需求、气象变量与社会经济指标训练得到的需求预测框架。 目前,逐小时电力需求预测均以国家为单位开展生成工作,覆盖全球184个国家。 关于建模方法、数据输入项与生成流程的完整文档,可查阅DemandCast的GitHub仓库:https://github.com/open-energy-transition/demandcast。 本仓库包含以下文件: forecasts_on_historical_period.parquet:包含模型在历史时段(2000年至2024年)生成的逐小时电力需求预测结果。此类预测由DemandCast基于预测生成时刻可获取的信息完成。由于部分国家存在输入数据缺失或不足的情况,并非所有国家都拥有覆盖完整历史时段的预测数据。 input_data_for_forecasting_on_historical_period.parquet:提供了用于生成历史时段预测的全部输入特征集,涵盖气象变量与社会经济指标。 list_of_country_codes_not_yet_available.txt:列出了因输入数据缺失或不足而暂未提供预测服务的国家代码清单。 trained_xgboost_model.json:DemandCast框架内训练得到的XGBoost(极限梯度提升树)模型文件。

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Zenodo
创建时间:
2026-02-16
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