XuPengResearchGroup/EnergyDetective2020_dataset

This is a dataset used in EnergyDetective 2020, which is a competition on building energy consumption prediction hold in 2020 by Xupeng Research Group.

With the prediction case provided in the competition, which is to predict the energy consumption of a building with some physical information but without historical data of its own, the dataset will include two parts, which is the test building dataset and the reference building dataset. The test building dataset includes more data about the physical description for the building while the reference building dataset includes more historical consumption data.

All the hourly energy consumption data comes from office buildings located in Shanghai, China during 2015-2017. Energy consumption data is divided into two meter type in the data set. Energy cost by lights and plugs is one of the meter type (marked as “Q”) and that cost by the HVAC system is the other(marked as “W”). The consumption records of two meter types are gathered by raw meta data, which comes from a private dataset built by an energy management company.

In the meanwhile, weather data is given in the dataset. And the weather data is collected by a real weather station in Shanghai, China.

In the new version, we provide the historical hourly energy consumption data of the test building.