Energy system modeling is a commonly used method to provide policy recommendations
and insight to transformation pathways of energy systems. However, the low open-source …

Urban multi-energy systems (UMES) incorporating distributed energy resources are vital to
future low-carbon energy systems. These systems demand complex solutions, including …

Energy flexibility of buildings can be an essential resource for a sustainable and reliable
power grid with the growing variable renewable energy shares and the trend to electrify and …

Energy system models (ESMs) are essential for planning the energy transition and
understanding its impacts. However, this transition is inherently complex and cannot always …

Numerous case studies show that citizens engage in various ways in renewable and low
carbon energy projects, thereby contributing to the sustainable energy transition. To date …

Optimization models can support decision-makers in the synthesis and operation of multi-
sector energy systems. To identify the optimal design and operation of a low-carbon system …

Digitalization and concepts such as digital twins (DT) are expected to have huge potential to
improve efficiency in industry, in particular, in the energy sector. Although the number and …

Usability is considered one of the key factors in determining the success of Open Source
Software, but is it sufficiently addressed within the development process as of yet? Thus far …

The potential of large language models (LLM) has captured the imagination of the public
and researchers alike. In contrast to previous generations of machine learning models …

The industrial paradigm shift toward intelligent and sustainable management stimulates
policymakers to leverage artificial intelligence (AI) for decentralized planning of chemical …