GAIDC preliminary B

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2024 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 investigate the correlation between transformer oil temperature and factors including seasonal months, time of day, and external load during transformer operation. Participants shall analyze the structured competition dataset to build models for predicting the oil temperature of target records. This dataset is exclusively for the 2024 Global Artificial Intelligence Developer Pioneer Conference – AI Talent Learning Competition.

搜集汇总

背景与挑战

背景概述

该数据集用于2024全球人工智能开发者先锋大会的AI人才学习赛，旨在通过分析季节月份、时刻和外部负载等多变量，建立回归模型预测变压器油温。数据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许可协议。