TU Delft Enhances Global Energy Research with New Open Source Datasets
Delft, Friday, 17 January 2025.
TU Delft and Centre for Net Zero contribute diverse datasets to LF Energy OpenSynth, aiding global energy research and showcasing commitment to sustainable energy solutions.
Comprehensive Data Contribution
TU Delft has made a significant contribution to global energy research by sharing consolidated and cleaned datasets from multiple countries including Germany, United Kingdom, Australia, and the Netherlands [1]. This contribution, made through the LF Energy OpenSynth community, represents diverse energy consumption patterns and system designs across different regions [1]. The initiative is particularly noteworthy as it runs parallel to Centre for Net Zero’s contribution of 10 million synthetic load profiles, trained on over 1.8 billion smart meter readings [1].
AI and Open Source Synergy
This data sharing initiative aligns with the broader movement towards open source innovation in the energy sector. According to LF Energy’s recent white paper, such collaborative data sharing is essential for accelerating AI adoption in the energy industry [2]. The contribution from TU Delft, with participation from expert Pedro Vergara Barrios, demonstrates how academic institutions can play a crucial role in advancing energy transition through open data initiatives [2].
Security and Accessibility Balance
The OpenSynth community, where these datasets are housed, serves as a platform that enables both the generation and sharing of synthetic data while maintaining security and privacy of real-world information [1]. This approach makes it significantly easier to perform accurate energy modeling activities without compromising sensitive data [1]. The platform empowers data holders worldwide to generate and share synthetic data, while also allowing community members to develop and improve algorithms [1].