Thermal modelling of power transformers encompasses analytical, numerical and data‐driven approaches to predict temperature distributions arising from electrical losses in windings and cores. Accurate ...

Energy storage is becoming critical to grid resilience and electricity affordability because battery systems can help balance ...

A new model accounts for a wide range of ion-electrode interactions and predicts a device's ability to store electric charge. The model's theoretical predictions align with the experimental results.

Why engineers are turning to system-level models. How high-fidelity digital twins help expose system-level issues. Where MBSE is experiencing the fastest adoption. The roles of AI and data science in ...

South Korean researchers released an open model of South Korea's power grid to support renewable energy, outage and AI-based electricity research.

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...

This course introduces the basic concepts of functional verification and model checking, highlighting their importance in modern system designs. It explains different modeling formalisms for ...