Electricity consumption of 28 german companies in 15-min resolution

doi:doi:10.35097/1192

Electricity consumption of 28 german companies in 15-min resolution

Abstract: This dataset contains the electric power consumption of 28 German companies in 15 minutes resolution. The data was adjusted for inconsistencies in the daylight saving time transitions. Other inconsistencies and errors were not eliminated. The data were collected by power utilities for billing purposes and covers the years 2014 and 2018. The companies provided the data to the C/sells the project.
The authors want to thank Wolff and Müller Energy for providing the data. Further, the Germany Federal Ministry for Economic Affairs and Energy for funding and support. This research was partly financed by the Smart Energy Showcases - Digital Agenda for the Energy Transition (SINTEG) program. All values are mean power values in kW in the 15 minute intervals. TechnicalRemarks: Open CSV data with any editor.

BibTex:

@dataset{Huber_Julian_and_Klempp_Nikolai_and_Becker_Jens_and_Weinhardt_Christof_2023,
    abstract = {Abstract: This dataset contains the electric power consumption of 28 German companies in 15 minutes resolution. The data was adjusted for inconsistencies in the daylight saving time transitions. Other inconsistencies and errors were not eliminated.
The data were collected by power utilities for billing purposes and covers the years 2014 and 2018. The companies provided the data to the C/sells the project.  
The authors want to thank Wolff and Müller Energy for providing the data. Further, the Germany Federal Ministry for Economic Affairs and Energy for funding and support. This research was partly financed by the Smart Energy Showcases - Digital Agenda for the Energy Transition (SINTEG) program. All values are mean power values in kW in the 15 minute intervals.
TechnicalRemarks: Open CSV data with any editor.},
    author = {Huber, Julian and Klempp, Nikolai and Becker, Jens and Weinhardt, Christof},
    doi = {10.35097/1192},
    institution = {RADAR},
    keyword = {'Electricity consumption', 'Industry', 'Time series'},
    title = {Electricity consumption of 28 german companies in 15-min resolution},
    url = {https://service.tib.eu/ldmservice/vdataset/rdr-doi-10-35097-1192},
    year = {2023}
}