Sizing capacities of renewable generation, transmission, and energy storage for low-carbon power systems: A distributionally robust optimization approach

R **e, W Wei, M Li, ZY Dong, S Mei - Energy, 2023 - Elsevier
To decrease carbon dioxide emission, a high penetration level of renewable energy will be
witnessed over the world in the future. By then, energy storage will play an important role in …

Photovoltaic sizing assessment for microgrid communities under load shifting constraints and endogenous electricity prices: A Stackelberg approach

F Feijoo, A Kundu, F Flores, Y Matamala - Energy, 2024 - Elsevier
Renewable energy resources are crucial for decarbonizing the energy sector. Distributed
energy resources, such as renewable generation by microgrids, aid the transition to net-zero …

The impact of electromobility in public transport: An estimation of energy consumption using disaggregated data in Santiago, Chile

F Basso, F Feijoo, R Pezoa, M Varas, B Vidal - Energy, 2024 - Elsevier
Electromobility in public transport has become a promising way to reduce environmental
pollution. Several contributions have sought to estimate the energy consumption of buses in …

[HTML][HTML] Multi-agent reinforcement learning for electric vehicle decarbonized routing and scheduling

Y Wang, D Qiu, Y He, Q Zhou, G Strbac - Energy, 2023 - Elsevier
Low-carbon transitions require joint efforts from electricity grid and transport network, where
electric vehicles (EVs) play a key role. Particularly, EVs can reduce the carbon emissions of …

Optimising electric vehicle charging station placement using advanced discrete choice models

S Lamontagne, M Carvalho… - INFORMS Journal …, 2023 - pubsonline.informs.org
We present a new model for finding the optimal placement of electric vehicle charging
stations across a multiperiod time frame so as to maximise electric vehicle adoption. Via the …

Leveraging real-world data sets for qoe enhancement in public electric vehicles charging networks

M Elhattab, M Khabbaz, N Al-Dahabreh… - … on Network and …, 2023 - ieeexplore.ieee.org
This work targets enhancing the quality of charging experience in Electric Vehicle (EV)
Public Charging Infrastructure (PCI) networks. The estimation uncertainty of waiting times at …

A long-term congestion management framework through market zone configuration considering collusive bidding in joint spot markets

X Lin, T Huang, X Liu, EF Bompard… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The zonal market (ZM) adopted in Europe, in contrast to the nodal market (NM), reconciles
the inconsistency between physical networks and administrative management. However, the …

Distributed electric vehicle assignment and charging navigation in cyber-physical systems

Y Tao, J Qiu, S Lai, X Sun, H Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With a large-scale penetration of electric vehicles (EVs) in the transportation sector, it
becomes challenging to guide all EVs heading to the suitable fast-charging stations (FCSs) …

Multi-Agent Graph Reinforcement Learning Method for Electric Vehicle on-Route Charging Guidance in Coupled Transportation Electrification

Y Li, S Su, M Zhang, Q Liu, X Nie… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper proposes a multi-agent deep graph reinforcement learning-based EV on-route
charging guidance strategy, aiming at minimizing the charging cost for EV drivers in an …

[HTML][HTML] Enabling large-scale integration of electric bus fleets in harsh environments: Possibilities, potentials, and challenges

S Harasis, I Khan, A Massoud - Energy, 2024 - Elsevier
This paper presents a comprehensive and detailed investigation of electric bus transit
systems, focusing on their feasibility in harsh environmental areas. The aspects that …