Tutorials
Training
01 - Introduction
We have created training bundles which provide various material on how to interact with the OEP. Each training bundle provides learning materials which cater to different levels of expertise. Some are targeted at fluent programmers, others are targeted at persons who prefer to interact with the OEP visually.
You can unfold each of the questions in the green boxes. You will then see a targeted selection of training materials. Each of these materials is described by a short abstract that will help you decide whether this is material that will be helpful for you. If it is, please click the link to view the material.
As a visual guide regarding what to expect behind the links, we use the following icons:
links to written training material. The material may include some code for guidance.
links to material focussing on code.
is some informational text without a link to specific material.
Our training courses can grow over time. If you see the need for further documentation, please feel free to get in touch with us via our contact form.
02 - Download - Find and download / interact with data
You want to find data on the OEP? You want to download and / or interact with the data on the OEP? Below we have bundled various information for you.
How to find data on the OEP? (tutorial):
This tutorial teaches you how to use the free text search and tags to filter for data on the OEP. You will see that you can use both approaches individually, but also combine freetext and tags to specify your data filter further.
This tutorial teaches you how to use the free text search and tags to filter for data on the OEP. You will see that you can use both approaches individually, but also combine freetext and tags to specify your data filter further.
Process query result data and save to file (tutorial):
Learn how to use the REST-full-HTTP API in Python for selecting data on the OEP, make calculations with it and save the results to a file.
How to download data - CSV and data package (tutorial):
Learn how easy it is do download any data table you are viewing on the OEP table with only one click and why a data package makes a difference.
Learn how to use the REST-full-HTTP API in Python for selecting data on the OEP, make calculations with it and save the results to a file.
How to download data - CSV and data package (tutorial):
Learn how easy it is do download any data table you are viewing on the OEP table with only one click and why a data package makes a difference.
Data queries via API (tutorial):
This tutorial provides an overview of how you can select and filter data that resides on the OEP via the REST-full-HTTP API in Python
Process query result data and save to file (tutorial):
Learn how to use the REST-full-HTTP API in Python for selecting data on the OEP, make calculations with it and save the results to a file.
This tutorial provides an overview of how you can select and filter data that resides on the OEP via the REST-full-HTTP API in Python
Process query result data and save to file (tutorial):
Learn how to use the REST-full-HTTP API in Python for selecting data on the OEP, make calculations with it and save the results to a file.
Our current scenario factsheets provide some dedicated information about specific scenarios for which projection data is available on the OEP. Please note, however, that their format was developed some time ago and they will undergo substantial updates. In the future, these scenario factsheets will be succeeded by study factsheets (alpha) that will hold more functionality. These improved factsheets will be based on RDF and the Open Energy Knowledge Graph (OEKG) which is currently under heavy development. Please note that this is therefore just a preview and not a fully functional feature yet.
Authors: Hannah Förster, Anne Siemons
Copyright: Öko-Institut
Contact: oedb@oeko.de
License: CC BY 4.0
Attribution: Öko-Institut (2022): Download - Find and download / interact with data
Last update: 2022-11-01
Copyright: Öko-Institut
Contact: oedb@oeko.de
License: CC BY 4.0
Attribution: Öko-Institut (2022): Download - Find and download / interact with data
Last update: 2022-11-01
03 - Upload - Contribute data to the OEP
Publishing data on the OEP can basically happen in two ways. You can do it using programming skills, or by using an interface to the OEP if you prefer not to program. We have a range of tutorials available to suit your needs and this capacity building package bundles them together for you and specifies for each, what you can expect from each of them.
Upload tables as csv (tutorial):
This tutorial teaches you step-by-step on how to upload data from a .csv file to the OEP using the csv upload wizard.
This tutorial teaches you step-by-step on how to upload data from a .csv file to the OEP using the csv upload wizard.
, Beginners Guide: How to upload data to the OpenEnergy Platform and initiate the review process (tutorial):
This tutorial (also available as PDF) describes how to upload data to the OEP using Python and the REST-API. Several steps are needed to contribute actively to the platform. Some of these you only need to do once to get started. The steps described in this document are the following: Register at the OpenEnergy Platform, Register at github and get invited to the OpenEnergy Platform Group, Create data table(s) and upload data table(s), create metadata and upload metadata to github, initiate data review, create scenario factsheets.
This tutorial (also available as PDF) describes how to upload data to the OEP using Python and the REST-API. Several steps are needed to contribute actively to the platform. Some of these you only need to do once to get started. The steps described in this document are the following: Register at the OpenEnergy Platform, Register at github and get invited to the OpenEnergy Platform Group, Create data table(s) and upload data table(s), create metadata and upload metadata to github, initiate data review, create scenario factsheets.
Use the oeclient to upload data to the OEP (github link):
The oeclient eases data sharing on the OEP. It is available via github and its readme teaches you how to install and use it.
The oeclient eases data sharing on the OEP. It is available via github and its readme teaches you how to install and use it.
Upload csv data to a new table on the OEP using the oedialect (tutorial):
This jupyter notebook tutorial teaches you how to upload data from a .csv file to the OEP.
This jupyter notebook tutorial teaches you how to upload data from a .csv file to the OEP.
Table creation and OEP upload with an SQLAlchemy Dialect (tutorial):
If you are interested in using the SQLAlchemy dialect, this tutorial is for you. It shows you how to create and upload tables to the OEP using that dialect. This is a jupyter notebook tutorial.
If you are interested in using the SQLAlchemy dialect, this tutorial is for you. It shows you how to create and upload tables to the OEP using that dialect. This is a jupyter notebook tutorial.
How to Upload Your Data and Metadata to the OEP (tutorial):
This jupyter notebook tutorial provides you a quick way of having all the code at hand to upload your data and metadata to the OEP.
This jupyter notebook tutorial provides you a quick way of having all the code at hand to upload your data and metadata to the OEP.
Authors: Hannah Förster, Anne Siemons
Copyright: Öko-Institut
Contact: oedb@oeko.de
License: CC BY 4.0
Attribution: Öko-Institut (2022): Upload - Contribute data to the OEP
Last update: 2023-01-31
Copyright: Öko-Institut
Contact: oedb@oeko.de
License: CC BY 4.0
Attribution: Öko-Institut (2022): Upload - Contribute data to the OEP
Last update: 2023-01-31
