第十届“泰迪杯”数据挖掘挑战赛-电力系统负荷预测分析.zip

上传者: m0_64879847 | 上传时间: 2024-03-04 16:37:54 | 文件大小: 1.58MB | 文件类型: ZIP
泰迪杯数据分析技能赛

文件下载

资源详情

[{"title":"( 37 个子文件 1.58MB ) 第十届“泰迪杯”数据挖掘挑战赛-电力系统负荷预测分析.zip","children":[{"title":"electricity_prediction-master","children":[{"title":"short02.py <span style='color:#111;'> 5.80KB </span>","children":null,"spread":false},{"title":"short01.py <span style='color:#111;'> 4.85KB </span>","children":null,"spread":false},{"title":"short.py <span style='color:#111;'> 4.82KB </span>","children":null,"spread":false},{"title":"示例数据","children":[{"title":"附件1-区域15分钟负荷数据.csv <span style='color:#111;'> 39.95KB </span>","children":null,"spread":false},{"title":"附件3-气象数据.csv <span style='color:#111;'> 1.31KB </span>","children":null,"spread":false},{"title":"附件2-行业日负荷数据.csv <span style='color:#111;'> 2.52KB </span>","children":null,"spread":false}],"spread":true},{"title":"B题_电力系统负荷预测分析.pdf <span style='color:#111;'> 155.77KB </span>","children":null,"spread":false},{"title":"B题分析.docx <span style='color:#111;'> 115.51KB </span>","children":null,"spread":false},{"title":"pythonProject2","children":[{"title":"附件3-气象数据.csv <span style='color:#111;'> 80.06KB </span>","children":null,"spread":false},{"title":"ModelEvalution.py <span style='color:#111;'> 1.25KB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 528B </span>","children":null,"spread":false},{"title":"WithWeather","children":[{"title":"Business.csv <span style='color:#111;'> 88.98KB </span>","children":null,"spread":false},{"title":"BigIndustry.csv <span style='color:#111;'> 89.53KB </span>","children":null,"spread":false},{"title":"SimpleIndustry.csv <span style='color:#111;'> 86.98KB </span>","children":null,"spread":false},{"title":"NonSimple.csv <span style='color:#111;'> 70.78KB </span>","children":null,"spread":false}],"spread":true},{"title":"DataPlot.py <span style='color:#111;'> 673B </span>","children":null,"spread":false},{"title":".idea","children":[{"title":"misc.xml <span style='color:#111;'> 197B </span>","children":null,"spread":false},{"title":"inspectionProfiles","children":[{"title":"profiles_settings.xml <span style='color:#111;'> 174B </span>","children":null,"spread":false}],"spread":false},{"title":"modules.xml <span style='color:#111;'> 280B </span>","children":null,"spread":false},{"title":"pythonProject2.iml <span style='color:#111;'> 406B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 47B </span>","children":null,"spread":false},{"title":"encodings.xml <span style='color:#111;'> 283B </span>","children":null,"spread":false}],"spread":true},{"title":"TrainTestPartition.py <span style='color:#111;'> 559B </span>","children":null,"spread":false},{"title":"NewWeather.csv <span style='color:#111;'> 74.66KB </span>","children":null,"spread":false},{"title":"Classfication","children":[{"title":"big.csv <span style='color:#111;'> 30.93KB </span>","children":null,"spread":false},{"title":"simple.csv <span style='color:#111;'> 28.38KB </span>","children":null,"spread":false},{"title":"nonsimple.csv <span style='color:#111;'> 19.67KB </span>","children":null,"spread":false},{"title":"business.csv <span style='color:#111;'> 30.38KB </span>","children":null,"spread":false}],"spread":false},{"title":"DataGodotif.py <span style='color:#111;'> 1.68KB </span>","children":null,"spread":false},{"title":"NewWeather2.csv <span style='color:#111;'> 51.10KB </span>","children":null,"spread":false},{"title":"DataPreProcess.py <span style='color:#111;'> 2.84KB </span>","children":null,"spread":false},{"title":"附件2-行业日负荷数据.csv <span style='color:#111;'> 138.97KB </span>","children":null,"spread":false},{"title":"test.py <span style='color:#111;'> 297B </span>","children":null,"spread":false},{"title":"test.csv <span style='color:#111;'> 124.50KB </span>","children":null,"spread":false}],"spread":false},{"title":"全部数据","children":[{"title":"附件1-区域15分钟负荷数据.csv <span style='color:#111;'> 3.79MB </span>","children":null,"spread":false},{"title":"附件3-气象数据.csv <span style='color:#111;'> 104.61KB </span>","children":null,"spread":false},{"title":"附件2-行业日负荷数据.csv <span style='color:#111;'> 156.98KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明