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 101–120 of 5759 papers
Shuyu Wang, Tian Chen, Yangzixian Yang +1
Using 108 communities in Beijing's Fengtai District, this study examines how neighborhood built-environment attributes relate to residents' travel-related carbon emissions. Combining hierarchical regression, subgroup regression, and random …
Xiaoming Wang, Jinjin Ding, Wenguang Zhao +1
This paper proposes a low-carbon optimal scheduling method for integrated energy systems (IESs) integrating ice-storage air conditioning and vehicle-to-grid (V2G) interaction of EVs and hydrogen vehicles. Monte Carlo sampling of 1000 EVs an…
Yitong Dong, Jiashu Kong, Pow‐Seng Yap +1
This critical review examines how AI-driven multi-objective optimization and multi-criteria decision-making are applied to integrated energy systems for low-carbon transitions. It synthesizes methods for designing and operating renewables-h…
Leyu Hu, Zhijie Pi, Nan Zhang +4
This review examines tailings as supplementary cementitious materials (SCMs) to partially replace Portland cement, addressing low reactivity, rheology issues, missing standards, and secondary pollution. It integrates physicochemical propert…
Lining Zhou, Yiqiang Jiang, Qingqin Wang +4
The study builds a two-level low-carbon neighborhood indicator system (6 domains, 22 indicators) using word-frequency analysis and expert validation, weighting them via AHP and aggregating into a composite Carbon-reduction Index (CCI). Appl…
Yumei Zhang, Jingjing Wang, Zhang Ruizeng +2
China's agrifood system accounts for 13% of global agrifood emissions and could rise to 1.83 Gt CO2eq by 2060 under baseline trends. Combined measures—productivity gains, low-carbon tech, food loss reduction, structural shifts, and energy t…
Xuanming Fu, Qian Xue, Pang Wan
Using 2003–2023 data from eight major economies, this study applies MMQR and Panel Smooth Transition Regression to test how the digital economy and green innovation shape carbon neutrality. The digital economy improves carbon neutrality acr…
Juntao Peng
This study analyzes the economic effects of transforming China's energy-intensive industries (steel, chemicals, building materials, non-ferrous metals) under carbon neutrality. It identifies three transmission mechanisms—technological innov…
Alvina Yee Ling Yii, Jia Jun Loke, Siok Kun Sek +2
Using quantile treatment effect models on 90 BRI countries (1995–2021), this study finds that the Belt and Road Initiative reduced CO2 emissions and boosted renewable energy consumption, with stronger effects in high-emission and high-renew…
Diana Karen Zavala-Vega, Edgar Geovanni Mora-Jacobo, Carlos Antonio Padilla-Esquivel +2
This study assesses Mexico's electricity system via life-cycle assessment and resource analysis, introducing four novel energy sustainability indices derived from EI99H damage results. Fuel oil, water, and biomass improved from 2013–2023, w…
Nelson Oppong
Using Ghana as a case study, this article examines why a new oil producer simultaneously pursues fossil-fuel extraction and ambitious energy transition agendas. Drawing on interviews, ethnography, and policy analysis (2023-2025), it argues …
María‐Ángeles Cadarso, Luis Antonio López Santiago, Nuria Gómez Sanz +3
Using a multiregional input-output model, this paper estimates global carbon emission savings from scaling up proven mitigation technologies via North-South and South-South technology transfers, based on differences in emissions intensity. …
Nina Boogen, Devon Wemyss, Yousra Sidqi +3
This study examines demand-side flexibility and rooftop solar self-consumption in Swiss housing cooperatives using mixed methods. It combines techno-economic modeling of peer-to-peer electricity sharing with social-science analysis of behav…
Javanshir Fouladvand
This study explores co-evolutionary, bidirectional influence between computational modelling and real-world practice, focusing on agent-based modelling (ABMS) for community energy systems. It finds technology (e.g., solar PV to multi-source…
Sanad Al-Quran
This paper examines Jordan's energy transition through comparison with German and EU policy experience. It draws lessons from advanced-economy renewable and policy design for a Middle Eastern emerging-market context. No abstract is availabl…
Gulufar Qodirova
This paper analyzes Germany's green economy transition model, assessing outcomes across renewable energy, GHG reduction, GreenTech, green finance, and green hydrogen using German statistical indicators. It identifies which elements of Germa…
Santiago Bogarra, J. A. Ortega
Power systems are transitioning under decarbonization, electrification, digitalization and rising distributed energy resources. This work addresses the design, optimization and control strategy of smart grids to manage high renewable penetr…
S.Thaslima Banu
This qualitative review examines how green technology, innovation, and digital solutions (AI, IoT, GIS, blockchain, drones) support climate mitigation and SDGs. It finds renewables, EVs, and smart grids cut emissions while digital tools str…
Dr.L.Johncy
An empirical study of how geopolitical crude-oil price shocks transmit to India's import dependence, energy consumption, growth and CO2 emissions using 1990–2024 annual data. It applies ARDL bounds testing, an error-correction model and str…
Sanad Al-Quran
This study examines how the Hormuz crisis shaped Jordan's energy security and transition strategy. It explores how import-dependent economies build resilience through renewable energy amid geopolitical tensions.
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