8 papers
Improving critical buildings energy resilience via shared autonomous electric vehicles -- A sequential optimization framework
Jinming Liu, Adam Abdin, Jakob Puchinger
The interdependence between electric power systems and transportation systems is rapidly increasing due to the high adoption of Electric Vehicles (EVs) and their charging infrastru…
New electric vehicle charging rate design : an MPEC assessment
Icaro Silvestre Freitas Gomes, Adam Abdin, Jakob Puchinger +1
A high penetration of electric vehicles (EVs) will deeply impact the management of electric power systems. To avoid costly grid reinforcements and the risk of load curtailment due…
Transformer-Based Reinforcement Learning for Autonomous Orbital Collision Avoidance in Partially Observable Environments
Thomas Georges, Adam Abdin
We introduce a Transformer-based Reinforcement Learning framework for autonomous orbital collision avoidance that explicitly models the effects of partial observability and imperfe…
New Formulations and Discretization Insights for the Electric Autonomous Dial-a-Ride Problem
Boshuai Zhao, Adam Abdin, Jakob Puchinger
The Electric Autonomous Dial-a-Ride Problem (E-ADARP) involves routing and scheduling electric autonomous vehicles under battery capacity and partial recharging constraints, aiming…
PAC-Bayes Meets Online Contextual Optimization
Zhuojun Xie, Adam Abdin, Yiping Fang
The predict-then-optimize paradigm bridges online learning and contextual optimization in dynamic environments. Previous works have investigated the sequential updating of predicto…
Toward Decision-Oriented Prognostics: An Integrated Estimate-Optimize Framework for Predictive Maintenance
Zhuojun Xie, Adam Abdin, Yiping Fang
Recent research increasingly integrates machine learning (ML) into predictive maintenance (PdM) to reduce operational and maintenance costs in data-rich operational settings. Howev…