Exciting moments in Lugano at the 13th DACH+ Energy Informatics Conference
From October 9-11, the energy informatics community came together for three days of engaging discussions and knowledge sharing. Experts from across the field explored innovative solutions to some of the most pressing challenges in energy informatics, while showcasing groundbreaking projects and valuable insights.It was a fantastic opportunity to connect, exchange ideas, and drive forward the […]
RENergetic will take part in Enlit Europe from 22-24 October in Milan
We are thrilled to announce that RENergetic will be exhibiting at Enlit Europe that will take place from 22-24 October in Milan! This is a fantastic opportunity to join one of the largest and most influential gatherings of energy professionals, innovators, and thought leaders, all committed to shaping the future of energy. At RENergetic, we […]
RENergetic results presented during the GoodIT Conference in Bremen
We are thrilled to share that our colleague Anna Volkova presented our latest research findings at the GoodIT Conference in Bremen (Sept 4-6, 2024). The paper, “Being Accountable is Smart: Navigating the Technical and Regulatory Landscape of AI-based Services for Power Grid”, co-authored by Anna Volkova, Mahdieh Hatamian, Alina Anapyanova, and Hermann DeMeer, sparked a […]
Join RENergetic at the 13th DACH+ Energy Informatics Conference 2024
We are thrilled to invite you to participate in the technical workshop entitled “Creating and Optimizing Energy Islands”. This event is a fantastic and free opportunity to delve into the latest advancements and collaborate with our experts in the field of energy informatics. Workshop A: “Advancing Smart Energy Systems through Informatics” Date: October 09, 2024Location: […]
New publication alert!
We are excited to share RENergetic’s latest research titled “Being Accountable is Smart: Navigating the Technical and Regulatory Landscape of AI-based Services for Power Grid”. Authored by Anna Volkova, Mahdieh Hatamian, Alina Anapyanova, and Hermann de Meer, the work has just been published as a preprint on arXiv. The paper will be part of the […]
Successful Physical Installation Event at PUT
In June 2024, Poznan University of Technology (PUT) hosted a dynamic Physical Installation Event as part of the Poznan Pilot initiative. This engaging community and workshop event enabled a space for interaction and connection with students and staff. The installation served as a central point for engagement, reflecting the physical space of a hub for […]
New RENergetic video out now
Grateful shoutout to Passau University team for this insightful video where the interdisciplinary project members led by computer scientist Professor Hermann de Meer explain how they develop smart solutions integrating IT and legal perspectives in our RENergetic project. Here’s a sneak peek:00:00 Doctoral student Alina Anapyanova on energy islands in the RENergetic project01:25 Professor Hermann […]
Happy 2024 to RENergetic Community!
Dear RENergetic community, As we usher in the new year, we extend our warmest wishes to each and every one of you. May this 2024 be filled with prosperity, joy, and countless opportunities for growth. We’re excited to announce that our next gathering will be the Project Management Briefing (PMB), scheduled to take place at the […]
A Report on the RENergetic TSO-DSO workshop
On October 27th, the RENergetic project hosted a webinar, focusing on the challenges encountered by Transmission System Operators (TSOs) and Distribution System Operators (DSOs) during the energy transition. A total of 30 participants actively engaged in the online event. Experts from the energy sector representing various European countries shared insights from ongoing research projects, highlighting the challenges […]
New publication by RENergetic team
Exciting News in Machine Learning for Energy Forecasting! Our team has just published a groundbreaking article titled “Replicable Machine Learning Workflow for Energy Forecasting.” Authors: Stepan Gagin, Adrián Carrasco Revilla, Hermann DeMeer, Nuria Sánchez Almodóvar 💡🔗 This article dives deep into a replicable workflow for leveraging machine learning in energy forecasting, providing valuable insights and methodologies for the industry. […]
