This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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 107 papers
Xieyu Hu, Y Huang, Yilin Huang +3
This study proposes a collaborative optimization method integrating virtual power plants (VPPs) and carbon trading for electric vehicle battery swapping stations (BSSs). By dynamically adjusting charging and discharging schedules, the appro…
Mahmoud Shaat, Farhad Oroumchian, Zina Abohaia +1
This study develops a scenario-based framework to estimate EV charging infrastructure needs in Abu Dhabi through 2050, comparing two adoption pathways. The Thriving scenario, despite higher capital investment, yields better utilization, spa…
S. Walgama, Kasun Hewage, E. Bakhtavar +2
This study evaluates the environmental, economic, and social performance of EV charging strategies in solar-integrated net-zero energy buildings using a life cycle sustainability assessment framework. Analyzing a Canadian case, it finds tha…
Zixiu Qin, Hai Wei, Xiaoning Deng +2
This paper proposes a dynamic pricing optimization model for PV-EV charging stations using Stackelberg game theory, incorporating user psychology and response deviations. Simulation results show PV self-consumption reaches 90.5%, load shift…
Sirigiri Lasya, Seelam Sreekanth, Karnamkota Siva +1
This paper analyzes the current status and challenges of electric vehicle (EV) adoption in India. It finds that the FAME II scheme significantly boosted EV uptake, especially in two- and three-wheelers, but high costs and infrastructure gap…
Afroza Akhter
This thesis proposes a design and policy framework for climate-optimized EV battery systems in Bangladesh, addressing thermal stress from tropical climate. It compares battery thermal management systems (air cooling, liquid cooling, phase-c…
Hongyu Wang, Zhiyu Zhao, Kai Cui +4
This paper proposes a 'Prediction-Optimization' closed-loop framework for low-carbon EV fleet charging. A hybrid forecasting model (VMD-BSLO-CTL) integrating VMD and CNN-Transformer-LSTM is built and validated on UK National Grid data. A mu…
God’sable Sitsofe Koku Aidam, Richard Opoku, Francis Davis +5
This paper presents a multi-modal assessment of electric mobility for sustainable intercity transport in Ghana, an emerging economy. It evaluates technical, economic, and environmental aspects, identifying key factors for successful EV adop…
Weifeng Lu, Shuo Liang, Xiaolong Wang
This study evaluates the carbon reduction mechanisms of new energy vehicles (NEVs) in China using LCA and panel econometric models. A 1% increase in NEV market share reduces annual carbon emissions by 0.358%. Long-term effectiveness depends…
Linda; id_orcid 0000-0002-1106-0768 Punt
This dissertation models demand-side flexibility from EV smart charging through inventory management, balancing realism and tractability to understand how flexibility operates under uncertainty. It examines conditions for operationalizing f…
Eyerusalem Tesfay Gereziher, Elisa Cioccolo, Pierluigi Rossi +2
This study analyzes the duty cycles of diesel and electric narrow tractors in viticulture, comparing battery sizing, energy demand, and greenhouse gas emissions. It evaluates the operational feasibility and environmental benefits of electri…
Florian Ahrens, Susan Krumdieck
This case study examines the transition to net zero school transport in rural Scotland through the lens of systems change and learning. It explores local challenges and solutions, offering insights for policymakers and practitioners.
Yash Modi, M.J. Mungla, Suketu Jani
This paper analyzes India's potential $200 billion EV market, emphasizing state policies and grid decarbonization. It also provides machine learning insights for sustainable development.
Griffin M. Wilson, Richard T. Stone
This paper develops a bi-objective green vehicle routing problem to assess optimal fleet mix and routing under carbon taxes, emissions trading systems, and electric vehicle subsidies. By analyzing shifts in the Pareto frontier, it identifie…
Epie PK
This study empirically validates a V2G carbon impact and market economics framework using a real-world UK municipal fleet dataset (5,459 sessions, 69 chargers). The median energy swing matches the model (2.5% error) but the high-energy tail…
Kosai S.
This study estimates life cycle greenhouse gas emissions of petrol, biodiesel, and battery electric vehicles (BEVs) in Malaysia. By considering fuel production and vehicle operation, it finds BEVs have lower emissions, while biodiesel faces…
Rogge K.S.
This paper examines challenges in accelerating net-zero transitions through a comparative case study of transport electrification in Germany and California. It identifies policy and infrastructure barriers, highlighting both region-specific…
Ndhlovu E.
This paper provides an overview of decarbonising urban transport, focusing on electric vehicles, public transport, and sustainable infrastructure in achieving net-zero emissions. It discusses the integration of policies and technologies.
Riya Kakkar, Smita Agrawal, Sudeep Tanwar
This paper proposes a hybrid game theory and blockchain approach for optimal EV charging scheduling. Stage 1 uses coalition games to form EV clusters, and Stage 2 applies zero-sum game to select the optimal pair. Blockchain secures transact…
Q. Zeng
This study empirically examines how AI dependence affects financial risk in listed new energy vehicle firms from 2013 to 2023. Results show that high AI dependency reduces financial safety, but strong knowledge output and efficient patent c…
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