# Electricity Load Forecasting Challenge, test — Data

来源：https://www.kaggle.com/competitions/electricity-load-forecasting-challenge-test/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

The datasets used in this thesis consist of real-world energy meter readings gathered in conjunction with the nationwide project Flexible Energy Denmark (FED). FED is a datadriven research project that aims to develop digital solutions to accelerate the green transition by increasing flexibility in the energy sector (Flexible-Energy-Denmark, 2019). The danish distribution system operator TREFOR has two test areas of their grid designated as living laboratories for the project, located in Strib, Middelfart, and Nørre Bjert, Kolding. Electricity consumption readings are collected on an hourly basis for most installations within the two areas. However, some meters collect data at a quarter-hourly interval.

## Files

*   **train.csv** - the training set
*   **example_submission.csv** - a sample submission file in the correct format

## Columns

-  `datetime` - The time when the load was measured, servers as an ID
-   `value` - the value of the aggregated electricity load at the given timestamp