Many sub-Saharan countries currently lack reliable electricity infrastructure, particularly in rural areas. Solar mini-grids can help remedy this situation. However, they require effective storage solutions, for which green hydrogen (GH₂) offers a possibility. Establishing green hydrogen as a storage …

As the world transitions toward sustainable energy systems, the integration of digital technologies in energy infrastructure has introduced new cybersecurity challenges. Smart grids, renewable energy networks, and data-driven management systems depend on secure digital communication to ensure stability …

"The integration of e-mobility into the energy mix plays a crucial role in reducing CO₂ emissions, as transportation remains one of the largest contributors to global greenhouse gas output. By addressing urban mobility challenges and optimizing electric vehicle systems, this teaching concept links technical …

Emergency responders (ERs) work in dynamic, complex, and unpredictable environments. The integration of increasingly advanced sensor and artificial intelligence technology affects the work processes and decision-making of ERs and leads to new challenges regarding efficient and responsible human-AI cooperation. …

The Digital Product Passport (DPP) is emerging as a key solution in enhancing product transparency, sustainability, and traceability. A DPP serves as a digital record containing vital information about a product's lifecycle. As regulations tighten on sustainability and product circularity, the digital …

This study explores how households interact with smart systems for energy usage, providing insights into the field's trends, themes and evolution through a bibliometric analysis of 547 relevant literature from 2015 to 2025. Our findings discover: (1) Research activity has grown over the past decade, …

It is now widely accepted that decisions made by AI systems must be explainable to their users. However, in practice, it often remains unclear how this explainability should be concretely implemented. This is especially important for nontechnical users, such as claims assessors at insurance companies, …

This guide was developed for designers and developers of AI systems, with the goal of ensuring that these systems are sufficiently explainable. Sufficient here means that it meets the legal re quirements from AI Act and GDPR and that users can use the system properly. Explainability of decisions is …

The integration of big data and artificial intelligence into modern systems has profoundly influenced societal structures causing significant ethical challenges. This paper investigates the role of professional oaths in mitigating these threats by focusing on Dutch data professionals. Through a two-phase …

Clinical decision support systems (CDSSs) have gained prominence in health care, aiding professionals in decision-making and improving patient outcomes. While physicians often use CDSSs for diagnosis and treatment optimization, nurses rely on these systems for tasks such as patient monitoring, prioritization, …