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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Showing 7701–7720 of 15993 papers

🇨🇳 China📚 Peer-reviewed · JournalSustainability2026#Energy TransitionDOI

Robust Low-Carbon Economic Dispatching of Coal Mine Integrated Energy Systems with Concentrated Solar Power Plant and Flexible Carbon Capture

Shuyi Wang, Wentao Huang, Bo Li +2

This paper proposes a low-carbon economic dispatch model for coal mine integrated energy systems (CMIES) integrating concentrated solar power (CSP) and flexible carbon capture using abandoned mines as solvent storage. A tiered carbon emissi…

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📚 Peer-reviewed · JournalRegional Science and Urban Economics2016#Carbon AccountingDOI

Comparing household greenhouse gas emissions across Canadian cities

Fercovic J.

This study compares household greenhouse gas emissions across multiple Canadian cities, examining variation in per-household emissions and driving factors. Findings highlight the importance of geographic and infrastructural factors in house…

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🇨🇳 China📚 Peer-reviewed · JournalSustainability2026#Energy TransitionDOI

County-Level Energy-Related Carbon Emissions and Sustainable Low-Carbon Transition in the Central-Southern Liaoning Urban Agglomeration: Spatiotemporal Evolution and Spatial Spillover Effects

Zhenbo Gao, Yanli Sun, Z H Liu +2

This study reconstructs county-level energy-related CO2 emissions for 73 units in the heavy-industrial Central-Southern Liaoning Urban Agglomeration from 2005 to 2024 using socioeconomic data and nighttime light data. Spatial autocorrelatio…

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🇨🇳 China📚 Peer-reviewed · JournalElectric Power Systems Research2026#HydrogenDOI

A decoupling and coordination optimization framework for port electro-hydrogen integrated energy system: towards efficiency, economy and carbon neutrality

Qiran Liu, Mingdong Yan, Z. Xiong +4

This paper proposes an optimization framework for port electro-hydrogen integrated energy systems, introducing a novel decoupling and coordination approach to simultaneously achieve efficiency, economy, and carbon neutrality.

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📚 Peer-reviewed · JournalEnvironmental Impact Assessment Review2022#Energy TransitionDOI

How do green energy investment, economic policy uncertainty, and natural resources affect greenhouse gas emissions? A Markov-switching equilibrium approach

Hassan S.T.

This paper uses a Markov-switching equilibrium approach to analyze how green energy investment, economic policy uncertainty, and natural resources affect greenhouse gas emissions. It examines the role of policy uncertainty in emissions redu…

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📚 Peer-reviewed · JournalSustainable Energy Technologies and Assessments2026#Energy EfficiencyDOI

Net-zero carbon buildings: a review of operational–embodied carbon trade-offs and building-integrated renewables

Ahmed Butt, Muhammad Waleed Aslam, Muhammad Asif +4

This review analyzes trade-offs between operational carbon (from building energy use) and embodied carbon (from materials and construction) in net-zero carbon buildings, evaluating the role of building-integrated renewables. It highlights t…

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📚 Peer-reviewed · JournalZhongnan Daxue Xuebao Ziran Kexue Ban Journal of Central South University Science and Technology2018#AI × ESGDOI

Evaluation and prediction of greenhouse gas emission of lead smelting system based on CF-EEMD-LSSVR

Luo X.

This paper proposes a CF-EEMD-LSSVR machine learning model to evaluate and predict greenhouse gas emissions from lead smelting systems. The model captures complex emission patterns, achieving high prediction accuracy. It contributes to emis…

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📚 Peer-reviewed · Conference2025 IEEE International Conference on Advanced Technologies in Supply Chain Management Atscm 20252025#Scope 3DOI

Greening The Grid: Mapping The Journey To Net-Zero In Sustainable Global Supply Chains

Vinodini K.J.

This paper maps the pathway to net-zero for global supply chains, examining how grid decarbonization impacts supply chain sustainability. While lacking abstract details, it likely provides a conceptual framework for aligning energy and supp…

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🌍 Global📚 Peer-reviewed · JournalJournal of the Association for Information Systems2026#AI × ESG

Building ESG Reporting Architecture & Capabilities through Artificial Intelligence (AI): Dynamic Capabilities Perspective-enabled ESG Reporting in Museums

Teri Grimmer, Wookyoung Kim, Harim Jung +1

This study examines how AI-enabled analytics enhances ESG reporting in resource-constrained museums. Using resource-based view and dynamic capabilities theory, it conceptualizes AI-enabled ESG reporting as a strategic organizational capabil…

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