This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 81–100 of 274 papers
Jing Chen, Guangnian Xiao, Jinpei Li +2
This paper proposes an integrated approach combining carbon accounting and weather-adaptive electrification dispatch for demand-responsive transit under carbon neutrality. It optimizes transit scheduling based on weather conditions to balan…
Martin S.
This paper analyzes how marginal emission factors of the power grid change with growing EV adoption, proposing signals for green charging. It models the impact of EV-driven electricity demand on emission factors, offering insights for optim…
Jingxiao Wang
This empirical study analyzes factors influencing household adoption of new energy vehicles (NEVs) in China, based on a survey of 352 households. It finds that young, middle-aged, well-educated married individuals are the primary buyers, wi…
Panick Kalambay, Grant Lipscomb, Jose Sanchez-Sossa +6
This paper uses socioeconomic and demographic data to identify optimal locations for low-carbon autonomous electric passenger ferries. It profiles neighborhoods to pinpoint areas where deployment would have the greatest impact, contributing…
Tang Y.
This paper proposes and evaluates emissions-responsive charging strategies for electric vehicles (EVs) to reduce their life cycle environmental impact. By optimizing charging timing based on grid emissions intensity, it quantifies reduction…
Yan He, Wanli Yang, Fen Zhang
This study examines the impact of China's new energy vehicle (NEV) pilot policies on urban green transition using panel data from 282 cities (2003-2022) and a multi-period DID approach. The policies significantly enhance urban green transit…
Gan Y.
This paper evaluates the impact of electric vehicle (EV) adoption on transportation decarbonization, considering greenhouse gas emissions. It accounts for lifecycle emissions and electricity mix, proposing effective reduction strategies.
Abdu Robbi
This study uses System Dynamics to analyze the impact of government policies on commercial electric bus adoption in Indonesia towards the 2060 net-zero target. Evaluating 17 policy scenarios, it finds fuel price reform is the most effective…
Hu J.
This paper proposes a low-carbon oriented framework for large-scale electric vehicle (EV) deployment that incorporates transmission network impacts. It integrates EV adoption with power grid operation to balance decarbonization and grid sta…
Alaba Boluwade
This paper uses genetic algorithms to optimize the spatial placement of EV charging stations in Atlantic Canada, contributing to transportation decarbonization. It aims to enhance charging infrastructure efficiency and promote EV adoption t…
Kathirvel Ayyaswamy, Naren Kathirvel
This paper examines the role of electric vehicles (EVs) in fostering a circular economy in India, focusing on battery recycling, component life cycles, and reducing fossil fuel dependence. It analyzes government policies, subsidies, and inf…
Arif MAB, Deb S
This paper compares price-following and MPC strategies for V2G dispatch on an IEEE 33-bus feeder at 10%, 30%, and 50% EV shares. MPC reduces system peak by 18-28% in all cases, while price-following worsens peak by 23.7% at 50% share. The s…
Olindo R.
This paper addresses life cycle assessments (LCA) of battery electric vehicles (BEV) and electrolytic hydrogen, highlighting the need for improved calculation rules and databases on electricity. It argues that accurate assessments require d…
Woody M.
This paper optimizes future costs and emissions of electric delivery vehicles, providing decision support for fleet operators to balance economic and environmental performance.
Kayacık S.E.
This paper proposes a multi-period optimal power flow (OPF) problem that incorporates electric vehicle (EV) charging demand, quantifying both cost and emission benefits. It demonstrates that flexible EV charging scheduling can improve grid …
Andersson Ö.
This paper conducts a life cycle assessment (LCA) of greenhouse gas (GHG) emissions from an electrified vehicle combined with renewable fuels, quantifying the reduction potential compared to EV-only scenarios and deriving policy implication…
Garima Panwar, Sunanda Sinha
This paper proposes an integrated spatial framework for optimal placement of EV charging stations in India, combining geospatial data and optimization methods to support transport decarbonization. It offers practical insights for policymake…
Ramadhani U.H.
This paper evaluates smart charging strategies for electric vehicles (EVs) in unbalanced low-voltage distribution systems with residential photovoltaic (PV) generation using probabilistic load flow analysis. It quantifies impacts on grid vo…
S S
This study proposes a model integrating electric vehicles (EVs) into a hybrid renewable energy system, using multi-objective optimization to balance energy cost, carbon emissions, and load stability. Simulations show EV integration reduces …
Zhao Yanjin Meng Qinghai Chen Peng Wang Jinji
This paper addresses the challenges of reactive power optimization in distribution networks with large-scale electric vehicle (EV) integration, considering the spatiotemporal uncertainty of EV charging. It proposes an optimization model tha…
Browse by Topic