GAIDC preliminary final

本赛题旨在探索油温与变压器运行的季节月份、时刻、外部负载等信息之间的关系。选手通过分析结构化的赛题数据，建立模型以预测目标记录的油温。数据仅用作2025 全球人工智能开发者先锋大会——AI人才学习赛使用。

This competition aims to explore the correlation between transformer oil temperature and relevant factors including season, month, time of day, and external load during transformer operation. Participants shall analyze the structured competition dataset and develop models to predict the oil temperature of target records. The dataset is exclusively used for the 2025 Global Artificial Intelligence Developer Pioneer Conference - AI Talent Learning Competition.

搜集汇总

背景与挑战

背景概述

该数据集为2025全球人工智能开发者先锋大会的AI人才学习赛设计，用于通过多变量回归分析预测变压器油温，涉及季节、时刻和负载等因素。由上海人工智能实验室·和鲸社区于2023年发布，遵循CC BY-ND 4.0许可。