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The rapid electrification of city bus fleets presents public transportation operators (PTOs) with the complex challenge of managing charging operations to minimize energy costs. Most existing studies on electric bus (EB) charging management…

Optimization and Control · Mathematics 2026-02-17 Louise Caustur , Penelope Hertoghe , Tai-Yu Ma , Martina Vandebroek

A significant challenge of adopting battery electric buses into fleets lies in scheduling the charging, which in turn is complicated by considerations such as timing constraints imposed by routes, long charging times, limited numbers of…

Systems and Control · Electrical Eng. & Systems 2024-08-09 Justin Whitaker , Derek Redmond , Greg Droge , Jacob Gunther

The transition to Electric Vehicles (EVs) demands intelligent, congestion-aware infrastructure planning to balance user convenience, economic viability, and traffic efficiency. We present a joint optimisation framework for EV Charging…

Multiagent Systems · Computer Science 2026-03-24 Niloofar Aminikalibar , Farzaneh Farhadi , Maria Chli

The increasing number of Electric Vehicles (EVs) have led to rising energy demands which aggregates the burden on grid supply. A few solutions have been proposed to reduce grid load, for example, using storage systems for storing surplus…

Systems and Control · Electrical Eng. & Systems 2023-12-14 Ferheen Ayaz , Maziar Nekovee

The utilization of Electric Vehicles (EVs) in car rental services is gaining momentum around the world and most commercial fleets are expected to fully adopt EVs by 2030. At the moment, the baseline solution that most fleet operators use is…

Systems and Control · Electrical Eng. & Systems 2024-09-20 Jose Peeterson Emerson Raja , Arvind Easwaran

The optimal robot assembly planning problem is challenging due to the necessity of finding the optimal solution amongst an exponentially vast number of possible plans, all while satisfying a selection of constraints. Traditionally, robotic…

Robotics · Computer Science 2025-02-25 Kartik Nagpal , Negar Mehr

The increasing use of electric vehicles (EVs) requires efficient route planning solutions that take into account the limited range of EVs and the associated charging times, as well as the different types of charging stations. In this work,…

Systems and Control · Electrical Eng. & Systems 2025-12-29 Dominik Köster , Florian Porkert , Klaus Volbert

Minimizing the peak power consumption and matching demand to supply, under fixed threshold polices, are two key requirements for the success of the future electricity market. In this work, we consider dynamic pricing methods to minimize the…

Optimization and Control · Mathematics 2016-10-26 Zaid Almahmoud , Jacob Crandall , Khaled Elbassioni , Trung Thanh Nguyen , Mardavij Roozbehani

The paper presents an approach to solving the Robust Energy Capacitated Vehicle Routing Problem (RECVRP), focusing on electric vehicles and their limited battery capacity. A finite number of customers, each with their own demand, have to be…

Systems and Control · Electrical Eng. & Systems 2024-03-22 Mark Pustilnik , Francesco Borrelli

The rapid growth of urban populations and the increasing need for sustainable transportation solutions have prompted a shift towards electric buses in public transit systems. However, the effective management of mixed fleets consisting of…

Optimization and Control · Mathematics 2026-01-14 Rishav Sen , Amutheezan Sivagnanam , Aron Laszka , Ayan Mukhopadhyay , Abhishek Dubey

The rise of battery-powered vehicles has led to many new technical and methodological hurdles. Among these, the efficient planning of an electric fleet to fulfill passenger transportation requests still represents a major challenge. This is…

Optimization and Control · Mathematics 2023-02-07 Axel Parmentier , Rafael Martinelli , Thibaut Vidal

The optimal charging infrastructure planning problem over a large geospatial area is challenging due to the increasing network sizes of the transportation system and the electric grid. The coupling between the electric vehicle travel…

Artificial Intelligence · Computer Science 2020-11-20 Wanshi Hong , Cong Zhang , Cy Chan , Bin Wang

In the smart grid, the intent is to use flexibility in demand, both to balance demand and supply as well as to resolve potential congestion. A first prominent example of such flexible demand is the charging of electric vehicles, which do…

Computational Complexity · Computer Science 2024-03-14 Mathijs de Weerdt , Michael Albert , Vincent Conitzer

Large-scale integration of plug-in electric vehicles (PEV) in power systems can cause severe issues to the existing distribution system, such as branch congestions and significant voltage drops. As a consequence, smart charging strategies…

Optimization and Control · Mathematics 2012-07-24 Qiao Li , Rohit Negi , Marija D. Ilic

The timely transportation of goods to customers is an essential component of economic activities. However, heavy-duty diesel trucks used for goods delivery significantly contribute to greenhouse gas emissions within many large metropolitan…

Systems and Control · Electrical Eng. & Systems 2023-11-15 Mikhail A. Bragin , Zuzhao Ye , Nanpeng Yu

This paper investigates the fee scheduling problem of electric vehicles (EVs) at the micro-grid scale. This problem contains a set of charging stations controlled by a central aggregator. One of the main stakeholders is the operator of the…

Optimization and Control · Mathematics 2018-07-25 Hwei-Ming Chung , Wen-Tai Li , Chau Yuen , Chao-Kai Wen , Noel Crespi

We address the stochastic transmission expansion planning (STEP) problem under uncertainty in renewable generation capacity and demand. STEP's objective is to minimize total transmission investment and generation costs. To tackle the…

Optimization and Control · Mathematics 2026-05-12 Yure Rocha , Teobaldo Bulhões , Anand Subramanian , Joaquim Dias Garcia

Strategic aggregation of electric vehicle batteries as energy reservoirs can optimize power grid demand, benefiting smart and connected communities, especially large office buildings that offer workplace charging. This involves optimizing…

Machine Learning · Computer Science 2025-02-27 Fangqi Liu , Rishav Sen , Jose Paolo Talusan , Ava Pettet , Aaron Kandel , Yoshinori Suzue , Ayan Mukhopadhyay , Abhishek Dubey

This paper proposes a fully distributed Demand-Side Management system for Smart Grid infrastructures, especially tailored to reduce the peak demand of residential users. In particular, we use a dynamic pricing strategy, where energy tariffs…

Computer Science and Game Theory · Computer Science 2014-05-09 Antimo Barbato , Antonio Capone , Lin Chen , Fabio Martignon , Stefano Paris

The growing use of electric vehicles (EVs) may hinder their integration into the electricity system as well as their efficient operation due to the intrinsic stochasticity associated with their driving patterns. In this work, we assume a…

Optimization and Control · Mathematics 2020-06-22 Álvaro Porras , Ricardo Fernández-Blanco , Juan M. Morales , Salvador Pineda