Enterprises Electric Load Profiles (Germany) by Kaggle | Technology and IT

About this Dataset

Enterprises Electric Load Profiles (Germany)

Exploring the Benefits of Battery Storage Technology

About this dataset

This dataset presents electric load profiles of 50 small and mid-size enterprises in Germany. It provides an insight into the electricity consumption trends over time, allowing users to identify areas where energy savings can be made or investments in better energy management systems can be made. With a resolution of 15 minutes, it is possible to examine the effects of different storage system solutions in order to improve efficiency with accuracy and precision. As such, this dataset is aimed at industry professionals looking for ways to optimize their operations using battery storage system technology. It contains valuable information on electric loads expressed in kWh as an average over 15 minutes, providing crucial data points when making decisions about long-term investments. So take advantage of this powerful dataset today and see how improved battery storage systems could help revolutionize your business model!

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How to use the dataset

This dataset contains electric load profiles of 50 small and mid-size enterprises in Germany for the year 2016 and 2017. The load profiles are measured every 15 minutes and are expressed in kW as an average over 15 minutes. This dataset can be used to study the economic impacts of battery storage systems on small to medium-sized German enterprises.

Research Ideas

Analyzing the effects of load profile shaping on energy efficiency for German small to mid-size enterprises.

Investigating how battery storage systems can be used to reduce electricity bills at German small to mid-size enterprises by reducing peak demand charges.

Examining the economic impacts of different types of renewable energy sources such as solar and wind, when coupled with battery storage systems, on electric loads at German small to mid-size enterprises

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: LoadProfile_30IPs_2017.csv

File: LoadProfile_20IPs_2016.csv

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

Loadprofile 20ips 2016

@kaggle.thedevastator_german_sme_electric_load_profiles_for_2016_2017.loadprofile_20ips_2016

1.3 MB
35141 rows
21 columns


CREATE TABLE loadprofile_20ips_2016 (
  "electric_load_in_kw_as_an_average_over_15_minutes" VARCHAR,
  "unnamed_1" VARCHAR,
  "unnamed_2" VARCHAR,
  "unnamed_3" VARCHAR,
  "unnamed_4" VARCHAR,
  "unnamed_5" VARCHAR,
  "unnamed_6" VARCHAR,
  "unnamed_7" VARCHAR,
  "unnamed_8" VARCHAR,
  "unnamed_9" VARCHAR,
  "unnamed_10" VARCHAR,
  "unnamed_11" VARCHAR,
  "unnamed_12" VARCHAR,
  "unnamed_13" VARCHAR,
  "unnamed_14" VARCHAR,
  "unnamed_15" VARCHAR,
  "unnamed_16" VARCHAR,
  "unnamed_17" VARCHAR,
  "unnamed_18" VARCHAR,
  "unnamed_19" VARCHAR,
  "unnamed_20" VARCHAR
);

Loadprofile 30ips 2017

@kaggle.thedevastator_german_sme_electric_load_profiles_for_2016_2017.loadprofile_30ips_2017

1.96 MB
35045 rows
31 columns


CREATE TABLE loadprofile_30ips_2017 (
  "electric_load_in_kw_as_an_average_over_15_minutes" VARCHAR,
  "unnamed_1" VARCHAR,
  "unnamed_2" VARCHAR,
  "unnamed_3" VARCHAR,
  "unnamed_4" VARCHAR,
  "unnamed_5" VARCHAR,
  "unnamed_6" VARCHAR,
  "unnamed_7" VARCHAR,
  "unnamed_8" VARCHAR,
  "unnamed_9" VARCHAR,
  "unnamed_10" VARCHAR,
  "unnamed_11" VARCHAR,
  "unnamed_12" VARCHAR,
  "unnamed_13" VARCHAR,
  "unnamed_14" VARCHAR,
  "unnamed_15" VARCHAR,
  "unnamed_16" VARCHAR,
  "unnamed_17" VARCHAR,
  "unnamed_18" VARCHAR,
  "unnamed_19" VARCHAR,
  "unnamed_20" VARCHAR,
  "unnamed_21" VARCHAR,
  "unnamed_22" VARCHAR,
  "unnamed_23" VARCHAR,
  "unnamed_24" VARCHAR,
  "unnamed_25" VARCHAR,
  "unnamed_26" VARCHAR,
  "unnamed_27" VARCHAR,
  "unnamed_28" VARCHAR,
  "unnamed_29" VARCHAR,
  "unnamed_30" VARCHAR
);