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Relevant bibliographies by topics / EV usage forecast

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Journal articles
Dissertations / Theses
Conference papers

Academic literature on the topic 'EV usage forecast'

Author: Grafiati

Published: 14 March 2023

Last updated: 31 July 2025

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Journal articles on the topic "EV usage forecast"

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Mahlberg, Justin Anthony, Jairaj Desai, and Darcy M. Bullock. "Evaluation of Electric Vehicle Charging Usage and Driver Activity." World Electric Vehicle Journal 14, no. 11 (2023): 308. http://dx.doi.org/10.3390/wevj14110308.

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As the country moves toward electric vehicles (EV), the United States is in the process of investing over USD 7.5 billion in EV charging stations, and Indiana has been allocated $100 million to invest in their EV charging network. In contrast to traditional “gas stations”, EV charging times, depending on the charger power delivery rating, can require considerably longer dwell times. As a result, drivers tend to pair charging with other activities. This study looks at two EV public charging locations and monitors driver activity while charging, charge time, and station utilization over a 2-mont

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Manoj, Vasupalli, M. Ramasekhara Reddy, G. Nooka Raju, Ramakrishna Raghutu, P. A. Mohanarao, and Aakula Swathi. "Machine Learning Models for Predicting and Managing Electric Vehicle Load in Smart Grids." E3S Web of Conferences 564 (2024): 02009. http://dx.doi.org/10.1051/e3sconf/202456402009.

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The integration of electric vehicles (EVs) into smart grids provides major issues and prospects for effective energy management. This research examines the actual utilization of machine learning models to forecast and manage EV demand in smart grids, intended to increase grid effectiveness and dependable operation. We acquire and preprocess different datasets, considering elements such as time of usage, characteristics of the environment, and user behaviors. Multiple machine learning models, combining neural networks, support vector machines, and forests that are random, are developed and rate

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Jaržemskis, Andrius, and Ilona Jaržemskienė. "European Green Deal Implications on Country Level Energy Consumption." Folia Oeconomica Stetinensia 22, no. 2 (2022): 97–122. http://dx.doi.org/10.2478/foli-2022-0021.

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Abstract Research background: The European Green deal set by the European Commission has launched new business models in sustainable development. Major contributions are expected in the road transport sector; as far as conventional internal combustion creates significant input in Green House Gas emission inventories. Each EU member state has an obligation to reduce GhG emission by accelerating Electric Vehicle development. In order to foster growth of EVs, there is the need of significant investment into charging infrastructures. The article propose the model of forecasting of investment based

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Sneddon, Simon. "Paradise lost? The red right hand of green technology." Journal of Human Rights and the Environment 14, no. 2 (2023): 169–93. http://dx.doi.org/10.4337/jhre.2023.02.03.

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This article addresses issues of climate and environmental injustice through the lens of electric vehicle (EV) usage. The current market for batteries relies very heavily on Lithium-Ion (Li-Ion) batteries, as they provide ‘high efficiency and low cost’. In 2020, BloombergNEF forecast that by 2040, 58 per cent of global passenger vehicles sales would be EVs, with demand for batteries rising commensurately. Between 2010 and 2021, the average unit price for EV batteries fell from $1200 to $132 per kW/h. The article considers the environmental impacts of EVs and assesses the extent to which impact

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Syed Nasir, SN, JJ Jamian, R. Ayop, and MW Mustafa. "Enhancing power loss by optimal coordinated extensive CS operation during off-peak load at the distribution system." E3S Web of Conferences 231 (2021): 01003. http://dx.doi.org/10.1051/e3sconf/202123101003.

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Minimise dependency of energy from depleted non-renewable had pushed the usage of electric vehicle (EV). However, the presence of charging station (CS) may cause another impact such as higher power loss, especially involving uncoordinated CS. The impact becomes vital when the numbers of CS to charge the EV increased dramatically. From research, CS at residential usually operated during off-peak load. Furthermore, the variation of the charging pattern that difficult to perceive had added severe condition. Thus, the exploration of the mitigation method is necessary to avoid the stress at the exi

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Alanazi, Fayez, Talal Obaid Alshammari, and Abdelhalim Azam. "Optimal Charging Station Placement and Scheduling for Electric Vehicles in Smart Cities." Sustainability 15, no. 22 (2023): 16030. http://dx.doi.org/10.3390/su152216030.

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Electric vehicles (EVs) have emerged as a transformative solution for reducing carbon emissions and promoting environmental sustainability in the automotive industry. However, the widespread adoption of EVs in the United States faces challenges, including high costs and unequal access to charging infrastructure. To overcome these barriers and ensure equitable EV usage, a comprehensive understanding of the intricate interplay among social, economic, and environmental factors influencing the placement of charging stations is crucial. This study investigates the key variables that contribute to d

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Castro, José F. C., Augusto C. Venerando, Pedro A. C. Rosas, et al. "Operation Model Based on Artificial Neural Network and Economic Feasibility Assessment of an EV Fast Charging Hub." Energies 17, no. 13 (2024): 3354. http://dx.doi.org/10.3390/en17133354.

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The energy transition towards a low-emission matrix has motivated efforts to reduce the use of fossil fuels in the transportation sector. The growth of the electric mobility market has been consistent in recent years. In Brazil, there has been an accelerated growth in the sales rate of new electric (and hybrid) vehicles (EVs). Fiscal incentives provided by governments, along with the reduction in vehicle costs, are factors contributing to the exponential growth of the EV fleet—creating a favorable environment for the dissemination of new technologies and enabling the participation of players f

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Al-lami, Ammar, Adám Török, Anas Alatawneh, and Mohammed Alrubaye. "Future Energy Consumption and Economic Implications of Transport Policies: A Scenario-Based Analysis for 2030 and 2050." Energies 18, no. 12 (2025): 3012. https://doi.org/10.3390/en18123012.

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The transition to sustainable transport poses significant challenges for urban mobility, requiring shifts in fuel consumption, emissions reductions, and economic adjustments. This study conducts a scenario-based analysis of Budapest’s transport energy consumption, emissions, and monetary implications for 2020, 2030, and 2050 using the Budapest Transport Model (EFM), which integrates COPERT and HBEFA within PTV VISUM. This research examines the evolution of diesel, gasoline, and electric vehicle (EV) energy use alongside forecasted fuel prices, using the ARIMA model to assess the economic impac

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Karpurapu, Sailatha, and J. Naga Venkata Raghuram. "Synergizing Green Transitions: Exploring EV Usage Risks in South India through the UTAUT2 Model." Qubahan Academic Journal 4, no. 1 (2024): 26–37. http://dx.doi.org/10.58429/qaj.v4n1a370.

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Climate change can be combated, and sustainable transportation can be promoted by electric vehicles (EVs). Despite their versatility, they face multiple challenges when it comes to their uptake and habitual use. A comprehensive framework to clarify these factors, specifically in relation to EVs, is available through the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Due to perceived risks, many users are hesitant to use electric vehicles despite their potential benefits. to develop and empirically test a model that forecasts the elements that affect consumers' acceptance of ele

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Dukpa, Andu, Boguslaw Butrylo, and Bala Venkatesh. "Comparative Analysis and Optimal Operation of an On-Grid and Off-Grid Solar Photovoltaic-Based Electric Vehicle Charging Station." Energies 16, no. 24 (2023): 8086. http://dx.doi.org/10.3390/en16248086.

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One of the key strategies for decarbonization and green transportation is using electric vehicles (EVs). However, challenges like limited charging infrastructure, EV battery characteristics, and grid integration complexities persist. This study proposes a mixed-integer linear programming (MILP) approach to optimize a grid-connected solar PV-based commercial EV charging station (SPEVCS) with a battery energy storage system (BESS) for profit maximization. The MILP model efficiently manages SPEVCS operations, considering solar power fluctuations, EV charging patterns, and BESS usage. By coordinat

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Dissertations / Theses on the topic "EV usage forecast"

1

GIORDANO, FRANCESCO. "Optimal Management of Network Integrated EV Batteries by Individual EV Usage Forecasts: Vehicle to Home and Vehicle to Grid Case Studies." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2898046.

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Conference papers on the topic "EV usage forecast"

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Harry Watson, Harry Watson. "Range Capability as a Significant Variable in Light Duty EVs Life Cycle CO2." In FISITA World Congress 2021. FISITA, 2021. http://dx.doi.org/10.46720/f2020-epv-040.

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"It was recognised by ‘The Club of Rome’ in 1948 that the earth’s resources were limited and by 1971 in the book ‘Fundamentals of Exhaust Emissions’ I concluded that we should also have concern for CO2 levels in the air and consequent global warming caused by transport emissions. So what is the optimum strategy for minimizing energy use and emissions, recognizing that the car is the prime source of personal space for mobility, and that many governments support a focus as EVs as the solution for the future? To demonstrate how range capability has a significant influence on the optimum life for

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