37 citations · 42 across the 5 of their papers we have counts for
5 papers
Physically Consistent Neural ODEs for Learning Multi-Physics Systems
Muhammad Zakwan, Loris Di Natale, Bratislav Svetozarevic +3
Despite the immense success of neural networks in modeling system dynamics from data, they often remain physics-agnostic black boxes. In the particular case of physical systems, th…
Uncertainty-aware Flexibility Envelope Prediction in Buildings with Controller-agnostic Battery Models
Paul Scharnhorst, Baptiste Schubnel, Rafael E. Carrillo +2
Buildings are a promising source of flexibility for the application of demand response. In this work, we introduce a novel battery model formulation to capture the state evolution…
Lower Bounds on the Worst-Case Complexity of Efficient Global Optimization
Wenjie Xu, Yuning Jiang, Emilio T. Maddalena +1
Efficient global optimization is a widely used method for optimizing expensive black-box functions such as tuning hyperparameter, and designing new material, etc. Despite its popul…
Over-the-Air Federated Learning via Second-Order Optimization
Peng Yang, Yuning Jiang, Ting Wang +3
Federated learning (FL) is a promising learning paradigm that can tackle the increasingly prominent isolated data islands problem while keeping users' data locally with privacy and…
Distributed Optimal Power Flow for VSC-MTDC Meshed AC/DC Grids Using ALADIN
Junyi Zhai, Xinliang Dai, Yuning Jiang +4
The increasing application of voltage source converter (VSC) high voltage direct current (VSC-HVDC) technology in power grids has raised the importance of incorporating DC grids an…