English
Related papers

Related papers: Electric Vehicle Charging Load Forecasting: An Exp…

200 papers

In the context of charging electric vehicles (EVs), the price-based demand response (PBDR) is becoming increasingly significant for charging load management. Such response usually encourages cost-sensitive customers to adjust their energy…

Systems and Control · Electrical Eng. & Systems 2024-04-17 Chengyang Gu , Yuxin Pan , Ruohong Liu , Yize Chen

The increasing penetration level of energy generation from renewable sources is demanding for more accurate and reliable forecasting tools to support classic power grid operations (e.g., unit commitment, electricity market clearing or…

Machine Learning · Computer Science 2020-07-17 Michela Moschella , Mauro Tucci , Emanuele Crisostomi , Alessandro Betti

Electric vehicles (EVs) play a pivotal role in sustainable ride-hailing services primarily due to their potential in reducing carbon emissions and enhancing environmental protection. Despite their significance, current research in the realm…

Optimization and Control · Mathematics 2024-01-10 Xiaoming Li , Chun Wang , Xiao Huang

In recent years, developments in plug in hybrid electric vehicles have provided various environmental and economic advantages. In the future smart grids, electric vehicles are seen as an important means of transportation to reduce…

Optimization and Control · Mathematics 2018-02-13 Shanxuei Chen , Elizabeth Olivioufski , Braian Dods , Mohammd Hamdi

The transition to Electric Vehicles (EV) in place of traditional internal combustion engines is increasing societal demand for electricity. The ability to integrate the additional demand from EV charging into forecasting electricity demand…

Machine Learning · Computer Science 2023-06-12 Raiden Skala , Mohamed Ahmed T. A. Elgalhud , Katarina Grolinger , Syed Mir

The growing adoption of electric vehicles (EVs) is expected to significantly increase demand on electric power distribution systems, many of which are already nearing capacity. To address this, the paper presents a comprehensive framework…

Optimization and Control · Mathematics 2025-05-29 Mohammadreza Iranpour , Mohammad Rasoul Narimani , Xudong Jia

The installation of high-capacity fast chargers for electric vehicles (EVs) is posing a significant risk to the distribution grid as the increased demand from widespread residential EV charging could exceed the technical limits of the…

Systems and Control · Electrical Eng. & Systems 2025-12-19 Mohammad Golgol , Anamitra Pal , Vijay Vittal , Christine Fini , Ernest Palomino , Kyle Girardi

Urban demand forecasting plays a critical role in optimizing routing, dispatching, and congestion management within Intelligent Transportation Systems. By leveraging data fusion and analytics techniques, traffic demand forecasting serves as…

Machine Learning · Computer Science 2026-02-19 Antonios Tziorvas , George S. Theodoropoulos , Yannis Theodoridis

To achieve net-zero carbon emissions, electrification in the transportation sector plays an important role. Significant increase of electric vehicles (EV) has been observed nationally and globally. While the transition to EVs presents…

Systems and Control · Electrical Eng. & Systems 2024-11-22 Elias Raffoul , Xingpeng Li

With the booming growth of advanced digital technologies, it has become possible for users as well as distributors of energy to obtain detailed and timely information about the electricity consumption of households. These technologies can…

Signal Processing · Electrical Eng. & Systems 2022-09-16 Mohamed Aymane Ahajjam , Daniel Bonilla Licea , Mounir Ghogho , Abdellatif Kobbane

Simultaneous load forecasting across multiple entities (e.g., regions, buildings) is crucial for the efficient, reliable, and cost-effective operation of power systems. Accurate load forecasting is a challenging problem due to the inherent…

Machine Learning · Computer Science 2026-01-21 Onintze Zaballa , Verónica Álvarez , Santiago Mazuelas

Efficient load forecasting is needed to ensure better observability in the distribution networks, whereas such forecasting is made possible by an increasing number of smart meter installations. Because distribution networks include a large…

Machine Learning · Computer Science 2022-04-04 Miha Grabner , Yi Wang , Qingsong Wen , Boštjan Blažič , Vitomir Štruc

Public charging station occupancy prediction plays key importance in developing a smart charging strategy to reduce electric vehicle (EV) operator and user inconvenience. However, existing studies are mainly based on conventional…

Machine Learning · Computer Science 2021-11-16 Tai-Yu Ma , Sébastien Faye

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

For a new city that is committed to promoting Electric Vehicles (EVs), it is significant to plan the public charging infrastructure where charging demands are high. However, it is difficult to predict charging demands before the actual…

Machine Learning · Computer Science 2021-10-19 Yizong Wang , Dong Zhao , Yajie Ren , Desheng Zhang , Huadong Ma

With growing interest in sustainable logistics, electric vehicle (EV)-based deliveries offer a promising alternative for urban distribution. However, EVs face challenges due to their limited battery capacity, requiring careful planning for…

Artificial Intelligence · Computer Science 2025-08-05 Arindam Khanda , Anurag Satpathy , Amit Jha , Sajal K. Das

The race for road electrification has started, and convincing drivers to switch from fuel-powered vehicles to electric vehicles requires robust Electric Vehicle (EV) charging infrastructure. This article proposes an innovative EV charging…

Systems and Control · Electrical Eng. & Systems 2022-06-23 Victor Radermecker , Lieselot Vanhaverbeke

Smart charging of Electric Vehicles (EVs) reduces operating costs, allows more sustainable battery usage, and promotes the rise of electric mobility. In addition, bidirectional charging and improved connectivity enables efficient power grid…

Signal Processing · Electrical Eng. & Systems 2021-04-30 Karl Schwenk , Stefan Meisenbacher , Benjamin Briegel , Tim Harr , Veit Hagenmeyer , Ralf Mikut

With the proliferation of electric vehicles (EVs), accurate charging demand and station occupancy forecasting are critical for optimizing urban energy and the profit of EVs aggregator. Existing approaches in this field usually struggle to…

Computational Engineering, Finance, and Science · Computer Science 2025-07-15 Hang Fan , Yunze Chai , Chenxi Liu , Weican Liu , Zuhan Zhang , Wencai Run , Dunnan Liu

The number of electric vehicles (EVs) is expected to increase. As a consequence, more EVs will need charging, potentially causing not only congestion at charging stations, but also in the distribution grid. Our goal is to illustrate how…

Optimization and Control · Mathematics 2017-12-27 Angelos Aveklouris , Yorie Nakahira , Maria Vlasiou , Bert Zwart