gxceed
GX Research Hub · English

GX & Decarbonization Research

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.

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Topic: #EV & Transport (clear)

Showing 41–60 of 81 papers

🇺🇸 USA📚 Peer-reviewed · JournalLibra2026#EV & TransportDOI

A Data-Driven Framework for Fleet Electrification Planning: Integrating Total Cost of Ownership Analysis for University Facilities Management, Interagency Conflict in U.S. Climate and Vehicle Emissions Policy Before Massachusetts v. EPA

Nick DiCintio

This paper presents a data-driven framework for fleet electrification planning for a university's facilities management, integrating total cost of ownership analysis with telematics data. It finds that strategic replacement of high-emitting…

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🇺🇸 USA📚 Peer-reviewed · JournalLibra2026#EV & TransportDOI

A Data-Driven Framework for Fleet Electrification Planning: Integrating Total Cost of Ownership Analysis for University Facilities Management; The Hidden Costs of Clean Technology: Social Costs of the Electric Vehicle Transition Across Global Networks

Liam Tuohy

This portfolio combines a TCO model for fleet electrification at the University of Virginia with an STS paper tracing social costs across the EV supply chain—from lithium and cobalt extraction to battery manufacturing and e-waste. The TCO m…

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🇺🇸 USA📚 Peer-reviewed · JournalFrontiers in Big Data2021#EV & TransportDOI

Comparative Analysis of Energy Use and Greenhouse Gas Emission of Diesel and Electric Trucks for Food Distribution in Gowanus District of New York City

Elangovan R.

This paper presents a case study comparing energy use and greenhouse gas emissions of diesel vs. electric trucks for food distribution in New York City's Gowanus district. It finds that electric trucks significantly reduce emissions, highli…

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📚 Peer-reviewed · JournalIEEE transactions on consumer electronics2026#EV & TransportDOI

Osprey Optimization Algorithm-Based Power Quality Enhanced Grid Interfaced Green Energy Fed Electric Vehicle Charging for Industrial/House Hold Consumers

K. Srilakshmi, P. Balachandran, Muhammad Ammirrul Atiqi Mohd Zainuri

This paper applies the Osprey Optimization Algorithm (OOA) to optimize parameters of a UPQC for grid-connected systems integrating wind, solar, and EVs. It also employs Levenberg-Marquardt backpropagation neural network control and a novel …

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🌍 Global📚 Peer-reviewed · JournalSustainability2026#EV & TransportDOI

Reinforcement Learning-Based Energy Management for Sustainable Electrified Urban Transportation with Renewable Energy Integration: A Case Study of Alexandria, Egypt

Amany El-Zonkoly

This paper proposes an optimal energy management strategy integrating PV systems and green hydrogen into the electrified urban transportation system of Alexandria, Egypt. A modified multi-agent reinforcement learning approach handles demand…

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🌍 Global📚 Peer-reviewed · JournalWorld Electric Vehicle Journal2026#EV & TransportDOI

A Data-Driven Framework for Electric Vehicle Charging Infrastructure Planning: Demand Estimation, Economic Feasibility, and Spatial Equity

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…

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