Select Language

AI社区

公开数据集

电力负荷图2011-2014数据集

电力负荷图2011-2014数据集

249M
1519 浏览
3 喜欢
12 次下载
0 条讨论
Computer Regression

Data Set Information:Data set has no missing values.Values are in kW of each 15 min. To convert values in kWh values mus......

数据结构 ? 249M

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Data Set Information:

    Data set has no missing values.
    Values are in kW of each 15 min. To convert values in kWh values must be divided by 4.
    Each column represent one client. Some clients were created after 2011. In these cases consumption were considered zero.
    All time labels report to Portuguese hour. However all days present 96 measures (24*4). Every year in March time change day (which has only 23 hours) the values between 1:00 am and 2:00 am are zero for all points. Every year in October time change day (which has 25 hours) the values between 1:00 am and 2:00 am aggregate the consumption of two hours.


    Attribute Information:

    Data set were saved as txt using csv format, using semi colon (;).
    First column present date and time as a string with the following format 'yyyy-mm-dd hh:mm:ss'
    Other columns present float values with consumption in kW


    Relevant Papers:

    Provide references to papers that have cited this data set in the past (if any).


    Citation Request:

    If you have no special citation requests, please leave this field blank.


    Artur Trindade, artur.trindade '@' elergone.pt, Elergone, NORTE-07-0202-FEDER-038564
    Data type: TS
    Task: regression, clustering
    Number of Instances (records in your data set):370
    Number of Attributes (fields within each record):140256

    ×

    帕依提提提温馨提示

    该数据集正在整理中,为您准备了其他渠道,请您使用

    注:部分数据正在处理中,未能直接提供下载,还请大家理解和支持。
    暂无相关内容。
    暂无相关内容。
    • 分享你的想法
    去分享你的想法~~

    全部内容

      欢迎交流分享
      开始分享您的观点和意见,和大家一起交流分享.
    所需积分:20 去赚积分?
    • 1519浏览
    • 12下载
    • 3点赞
    • 收藏
    • 分享