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Related papers: A Review and Outlook of Energy Consumption Estimat…

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Accurate power consumption prediction is crucial for improving efficiency and reducing environmental impact, yet traditional methods relying on specialized instruments or rigid physical models are impractical for large-scale, real-world…

Machine Learning · Computer Science 2025-08-12 Roksana Yahyaabadi , Ghazal Farhani , Taufiq Rahman , Soodeh Nikan , Abdullah Jirjees , Fadi Araji

The transportation sector remains a major contributor to greenhouse gas emissions. The understanding of energy-efficient driving behaviors and utilization of energy-efficient driving strategies are essential to reduce vehicles' fuel…

Artificial Intelligence · Computer Science 2024-03-05 Zhipeng Ma , Bo Nørregaard Jørgensen , Zheng Ma

Mobility is undergoing dramatic transformations. Especially in the context of urban areas, several significant changes are underway, driven by both new mobility needs and environmental concerns. The most mature one, which still is…

Social and Information Networks · Computer Science 2020-01-29 V. Breschi , M. Tanelli , C. Ravazzi , S. Strada , F. Dabbene

The charging load from Electric vehicles (EVs) is modeled as deferrable load, meaning that the power consumption can be shifted to different time windows to achieve various grid objectives. In local community scenarios, EVs are considered…

Signal Processing · Electrical Eng. & Systems 2018-02-06 Bin Wang , Dai Wang , Cy Chan , Rongxin Yin , Doug Black

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…

Motivated by the concerns on transported fuel consumption and global air pollution, industrial engineers, and academic researchers have made many efforts to construct more efficient and environment-friendly vehicles. Hybrid electric…

Signal Processing · Electrical Eng. & Systems 2020-08-04 Teng Liu , Wenhao Tan , Xiaolin Tang , Jinwei Zhang , Yang Xing , Dongpu Cao

The present work is an attempt to understand and review existing methods of energy generation in electric vehicles in the modern day context. Previous works in the field have proposed various mechanisms of energy generation that are very…

Systems and Control · Electrical Eng. & Systems 2024-10-16 Dibakar Das , Biplab Satpati , Md Arif , Gourab Das

Electric vehicles (EVs) are increasingly becoming popular as a viable means of transportation for the future. The use of EVs may help to provide better climatic conditions in urban areas with a pocket friendly cost for transportation to the…

General Economics · Economics 2024-06-25 Tushar Gahlaut , Gourav Dwivedi

In the context of energy transition and decarbonization of the economy, several governments will ban the sale of new combustion vehicles by 2050. Thus, growing penetration of electric vehicles (EVs) in distribution networks (DN) is…

Systems and Control · Electrical Eng. & Systems 2024-08-27 Octavio Ramos-Leaños , Hussein Suprême , Mouhamadou Makthar Dione , Daniel Chabot , Vincent Beaulieu

Electric vehicles (EVs) add significant load on the power grid as they become widespread. The characteristics of this extra load follow the patterns of people's driving behaviours. In particular, random parameters such as arrival time and…

Computational Engineering, Finance, and Science · Computer Science 2014-08-12 Farshad Rassaei , Wee-Seng Soh , Kee-Chaing Chua

The connected vehicle paradigm empowers vehicles with the capability to communicate with neighboring vehicles and infrastructure, shifting the role of vehicles from a transportation tool to an intelligent service platform. Meanwhile, the…

Signal Processing · Electrical Eng. & Systems 2020-05-19 Nan Chen , Miao Wang , Ning Zhang , Xuemin , Shen

The increasing market penetration of electric vehicles (EVs) may pose significant electricity demand on power systems. This electricity demand is affected by the inherent uncertainties of EVs' travel behavior that makes forecasting the…

Machine Learning · Computer Science 2021-06-15 Sina Baghali , Samiul Hasan , Zhaomiao Guo

As the global focus on combating environmental pollution intensifies, the transition to sustainable energy sources, particularly in the form of electric vehicles (EVs), has become paramount. This paper addresses the pressing need for Smart…

Optimization and Control · Mathematics 2024-09-16 Luca Ambrosino , Giuseppe Calafiore , Khai Manh Nguyen , Riadh Zorgati , Doanh Nguyen-Ngoc , Laurent El Ghaoui

Last-mile carriers increasingly incorporate electric vehicles (EVs) into their delivery fleet to achieve sustainability goals. This goal presents many challenges across multiple planning spaces including but not limited to how to plan EV…

Machine Learning · Computer Science 2024-08-23 André Snoeck , Aniruddha Bhargava , Daniel Merchan , Josiah Davis , Julian Pachon

Electric vehicles (EVs) provide a cleaner alternative that not only reduces greenhouse gas emissions but also improves air quality and reduces noise pollution. The consumer market for electrical vehicles is growing very rapidly. Designing a…

Signal Processing · Electrical Eng. & Systems 2020-03-19 Seyed Sajjad Fazeli , Saravanan Venkatachalam , Ratna Babu Chinnam , Alper Murat

Electric vehicles (EVs) are considered as sustainable alternatives to conventional vehicles, as they reduce emission and fossil fuel dependency. A recent study has proposed a charging infrastructure planning tool to support intercity trips…

Numerical Analysis · Mathematics 2021-05-25 Mohammadreza Kavianipour , Hamid Mozafari , Mehrnaz Ghamami , Ali Zockaie , Robert Jackson

This paper presents a personalized Battery Electric Vehicle (BEV) energy consumption estimation framework that integrates map-based contextual features with driver-specific velocity prediction and physics-based energy consumption modeling.…

Systems and Control · Electrical Eng. & Systems 2026-04-23 Sreechakra Vasudeva Raju Rachavelpula , Sangwhan Cha

The global energy landscape is undergoing a profound transformation, often referred to as the energy transition, driven by the urgent need to mitigate climate change, reduce greenhouse gas emissions, and ensure sustainable energy supplies.…

Machine Learning · Computer Science 2025-05-08 Stavros Sykiotis

While the transition to electric vehicles (EVs) is essential for decarbonizing the transportation system, the production and distribution of EVs entail substantial carbon costs. To ensure these emissions are accurately accounted for and…

Optimization and Control · Mathematics 2024-09-11 Tareq Alsaleh , Bilal Farooq

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