Open Data Platform

Open data platform for research within the energy sector.

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©Green Energy Lab
©Green Energy Lab

The “Open Data Platform” is a central interface within Green Energy Lab in which all results generated by Green Energy Lab flow together. Users thus have easy access to comprehensive, relevant data on the energy sector.

The aim of the project is to deepen insights into the interconnectedness of energy systems. In the future, users from households and small and medium-sized enterprises (SMEs), in particular, will be able to benefit from such knowledge. End-user data provides insight into consumption-intensive applications, thus giving a better overview and contributing to a better understanding of energy costs. Also, the analysis of user consumption patterns and load flows forms the basis for developing prognosis models. This is an important step towards being able to respond even more closely to the flexible needs of end users in the future.

One focus of the “Open Data Platform” lies in developing and testing methods which increase the acceptance of innovative technologies. End customers are to be actively and gradually integrated into the digitization of energy systems. This also intends to reduce possible obstacles that hinder acceptance of new technology solutions. The findings from the project will be made into compact and tailor-made recommendations for various groups of stakeholders within the energy industry.

Contact

Georg Lettner
T: +43 1 58801-370376
E: lettner@eeg.tuwien.ac.at

Project key facts

Duration
01.10.2018 - 30.04.2022

funding program
Flagship region Energy

Project type
Cooperation project experimental development

Project budget
1.962.809 €

Project management

Technische Universität Wien

The following model solutions are being developed in the Open Data Platform project:

PREDICTIVE DATA ANALYSIS OF HIGH-RESOLUTION LOAD PROFILES OF HOUSEHOLDS
CUSTOMER APPLICATIONS FOR HIGH-RESOLUTION LOAD PROFILES OF HOUSEHOLDS
OPEN-DATA PLATFORM

Media reports on the project

"Open Data Platform" - research project for sustainable energy management

What makes energy consumers tick and what can be deduced from their behavior, needs and consumption patterns with regard to energy consumption? How can analysis models based on data that is as close to real time as possible predict energy fluctuations in order to balance out any load peaks?

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