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The rapid expansion of electric vehicles (EVs) has rendered the load forecasting of electric vehicle charging stations (EVCS) increasingly critical. The primary challenge in achieving precise load forecasting for EVCS lies in accounting for…

Systems and Control · Electrical Eng. & Systems 2024-06-14 Zongbao Zhang , Jiao Hao , Wenmeng Zhao , Yan Liu , Yaohui Huang , Xinhang Luo

As the number of electric vehicles (EVs) continues to grow, the demand for charging stations is also increasing, leading to challenges such as long wait times and insufficient infrastructure. High-precision forecasting of EV charging demand…

Systems and Control · Electrical Eng. & Systems 2025-02-25 Saba Sanami , Hesam Mosalli , Yu Yang , Hen-Geul Yeh , Amir G. Aghdam

Electricity is difficult to store, except at prohibitive cost, and therefore the balance between generation and load must be maintained at all times. Electricity is traditionally managed by anticipating demand and intermittent production…

Machine Learning · Computer Science 2024-09-26 Julie Keisler , Margaux Bregere

Demand flexibility can offset some of the variability introduced on the supply-side by variable renewable generation. However, most efforts (e.g. control of residential vehicle charging) focus on short durations -- typically on the scale of…

Systems and Control · Electrical Eng. & Systems 2025-05-12 Rina Davila Severiano , Constance Crozier , Mark O Malley

The advent of vehicle autonomy, connectivity and electric powertrains is expected to enable the deployment of Autonomous Mobility-on-Demand systems. Crucially, the routing and charging activities of these fleets are impacted by the design…

Systems and Control · Electrical Eng. & Systems 2022-11-23 Fabio Paparella , Karni Chauhan , Theo Hofman , Mauro Salazar

Mobile energy storage devices (MESDs) operate as medium- or large-sized batteries that can be loaded onto electric trucks and connected to charging stations to provide various ancillary services for distribution grids. This paper proposes a…

Systems and Control · Electrical Eng. & Systems 2019-11-20 Young-Jin Kim

We study electric vehicle (EV) fleet and charging infrastructure planning in a spatial setting. With customer requests arriving continuously at rate $\lambda$ throughout the day, we determine the minimum number of vehicles and chargers for…

Optimization and Control · Mathematics 2025-09-19 Sushil Mahavir Varma , Francisco Castro , Siva Theja Maguluri

The 2028 LA Olympics is approaching, and the mass transportation network requires to be expanded. The green electric bus transportation system is gaining increasing attention as an essential step to mitigate emission concerns. However, the…

Systems and Control · Electrical Eng. & Systems 2021-04-23 Amirhossein Ahmadian , Atharva Sunil Deo , Paawan Garg , Omar Elayyan

In regions with heavy snowfall, the living environment is becoming a serious problem due to heavy snow accumulation. A road heating is an electrical device which promotes snow melting by burying a heating cable as a thermal source…

Systems and Control · Electrical Eng. & Systems 2025-09-26 Chiaki Kojima , Yuya Muto , Hikaru Akutsu , Rinnosuke Shima , Yoshihiko Susuki

Electric vehicle (EV) charging patterns are highly uncertain in both location, time, and duration particularly in association with the predicted high demand for electric mobility in the future. An EV can be charged at home, at charging…

Optimization and Control · Mathematics 2022-04-06 Leila Hajibabai , Amir Mirheli

The integration of renewable energy into the power grid is often hindered by its fragmented infrastructure, leading to inefficient utilization due to the variability of energy production and its reliance on weather conditions. Battery…

Systems and Control · Electrical Eng. & Systems 2025-02-20 Dhrumil Bhatt , Siddharth Penumatsa , Nirbhay Singhal

Electrification of transport is a key strategy in reducing carbon emissions. Many countries have adopted policies of complete but gradual transformation to electric vehicles (EVs). However, mass EV adoption also means a spike in load (kW),…

Signal Processing · Electrical Eng. & Systems 2021-01-27 Rahul Roy , Trivikram Dokka , David A. Ellis , Esther Dudek , Paul Barnfather

The transport sector is a major contributor to greenhouse gas emissions in Europe. Shifting to electric vehicles (EVs) powered by a low-carbon energy mix would reduce carbon emissions. However, to support the development of electric…

Electric vehicles (EVs) have been highly favoured as a future transportation mode in the transportation section in recent years. EVs have many advantages compared to traditional transportation, especially the environmental aspect. However,…

Optimization and Control · Mathematics 2022-04-26 Jaehee Jeong , Bissan Ghaddar , Nicolas Zufferey , Jatin Nathwani

This study addresses the challenge of predicting electric vehicle (EV) charging profiles in urban locations with limited data. Utilizing a neural network architecture, we aim to uncover latent charging profiles influenced by spatio-temporal…

Electrification of vehicles is a potential way of reducing fossil fuel usage and thus lessening environmental pollution. Electric Vehicles (EVs) of various types for different transport modes (including air, water, and land) are evolving.…

Machine Learning · Computer Science 2024-09-19 Mohammad Wazed Ali , Asif bin Mustafa , Md. Aukerul Moin Shuvo , Bernhard Sick

To reduce carbon emission in the transportation sector, there is currently a steady move taking place to an electrified transportation system. This brings about various issues for which a promising solution involves the construction and…

Probability · Mathematics 2021-04-13 Fiona Sloothaak , James R. Cruise , Seva Shneer , Maria Vlasiou , Bert Zwart

Two-echelon distribution systems are attractive from an economical standpoint and help to keep large vehicles out of city centers. Large trucks can be used to deliver goods to intermediate facilities in accessible locations, whereas smaller…

Data Structures and Algorithms · Computer Science 2018-11-16 Ulrich Breunig , Roberto Baldacci , Richard F. Hartl , Thibaut Vidal

Electric vehicle charging demand prediction is important for vacant charging pile recommendation and charging infrastructure planning, thus facilitating vehicle electrification and green energy development. The performance of previous…

Machine Learning · Computer Science 2024-11-28 Haoxuan Kuang , Kunxiang Deng , Linlin You , Jun Li

The usability of vehicles is highly dependent on their energy consumption. In particular, one of the main factors hindering the mass adoption of electric (EV), hybrid (HEV), and plug-in hybrid (PHEV) vehicles is range anxiety, which occurs…

Machine Learning · Computer Science 2023-04-18 Jihed Khiari , Cristina Olaverri-Monreal