19 citations · 33 across the 5 of their papers we have counts for
5 papers
Optimal Day-Ahead Scheduling of Fast EV Charging Station With Multi-Stage Battery Degradation Model
Y. Wan, D. Gebbran, R. K. Subroto +1
The paper proposes a day-ahead scheduling framework with a novel multi-stage battery degradation modeling method for an electric vehicle (EV) fast charging station (FCS) equipped w…
Distributionally Robust Scheduling of Electrified Heating Under Heat Demand Forecast Uncertainty
Alessandro Quattrociocchi, Manisha Talukdar, Pere Izquierdo Gómez +1
Electrified heating systems with thermal storage, such as electric boilers and heat pumps, represent a major source of demand-side flexibility. Under current electricity market des…
Comparative analysis and evaluation of ageing forecasting methods for semiconductor devices in online health monitoring
Adrian Villalobos, Iban Barrutia, Rafael Pena-Alzola +2
Semiconductor devices, especially MOSFETs (Metal-oxide-semiconductor field-effect transistor), are crucial in power electronics, but their reliability is affected by aging processe…
Safety-Enhanced Self-Learning for Optimal Power Converter Control
Yihao Wan, Qianwen Xu, Tomislav Dragičević
Data-driven learning-based control methods such as reinforcement learning (RL) have become increasingly popular with recent proliferation of the machine learning paradigm. These me…
A Self-Commissioning Edge Computing Method for Data-Driven Anomaly Detection in Power Electronic Systems
Pere Izquierdo Gomez, Miguel E. Lopez Gajardo, Nenad Mijatovic +1
Ensuring the reliability of power electronic converters is a matter of great importance, and data-driven condition monitoring techniques are cementing themselves as an important to…