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 3461–3480 of 5059 papers
Emmanuel Nketiah, Buhari Doğan, Sunil Tiwari +2
This paper proposes a socio-economic framework for achieving net-zero emissions that integrates circular economy, energy transition, and socio-political risk. It focuses on institutional and economic barriers to sustainable transitions, off…
Ismail Kimuli, Francis Mujjuni, John Baptist Kirabira
This paper proposes a scenario planning strategy for industrial decarbonization in Kampala, Uganda, aiming to inform local energy policy development. It emphasizes practical, context-specific approaches but lacks detailed methodology or fin…
Zhijun Wu, Yunfei Mu, Haochen Guo +3
This paper proposes a multi-objective optimization method for park-level integrated energy systems (PIES) that combines carbon intensity (CI) incentives with energy price signals. It introduces a carbon–energy synergistic hub model to captu…
Nur Shardatul Hajjar Kamarudzaman, P. Liew, A. A. Azmi +1
This paper proposes a centralised multi-energy P2P trading model integrating thermal and electrical energy for eco-industrial parks, using cooperative game theory and ADMM optimization. A case study of three Malaysian industrial players dem…
Ziru Tang, Zenglian Zhang, Zhiyuan Dong +1
This study empirically examines the impact of China's ultra-high voltage (UHV) transmission network on energy transition and supply chain resilience, highlighting the role of networked power infrastructure.
Yang Chen, Shiwen Cai, Jinyi He +1
This paper uses clustering and machine learning to analyze different energy transition patterns and reveals the role of digital technological innovation in driving these patterns. It examines the diversity of energy transition pathways and …
Zhengkun Shi, Yongbiao Yang, Qingshan Xu +3
This paper proposes a bi-level robust model based on Information Gap Decision Theory for low-carbon transition planning of distribution networks under multi-source uncertainties. It addresses uncertainties from renewable generation and load…
Manuel A. Zambrano‐Monserrate, Gonzalo Hernández Soto
This paper empirically analyzes the impact of geopolitical risk on low-carbon technology exports using a quantile-based gravity model, estimating effects across different export quantiles.
Mostafa Nagy, Ahmed M. Eldosouky
This study uses airborne magnetic and radiometric data to target rare earth elements (REEs) in the Gabal Umm Naggat granite, Egypt. It identifies enriched zones in albitized and alkali feldspar granites at fault intersections. Radiological …
Akhrorov Mukhammadyusuf, Nosirov Bahodirjon.
This study examines Uzbekistan's Green Economy Transition Strategy (2019–2030), analyzing its institutional architecture, sectoral priorities, financial mechanisms, and quantitative targets. Key goals include 35% GHG intensity reduction, 15…
Claudia Pezoa-Fuentes, Marcelo Lufin, Paulina Rodríguez-Ugarte
This study analyzes stakeholder perceptions of energy transition and CSR in Tocopilla, a Chilean sacrifice zone, using mixed methods. Findings show broad support for renewables alongside fears of job loss, fragmented CSR, and low trust in p…
Chinyere Nneoma Ugwu, Okechukwu Paul-Chima Ugwu
This review examines biomass-based heating as a renewable alternative for temperature regulation in aquaponics. It covers feedstocks like agricultural residues and technologies such as boilers and gasifiers, finding that properly designed s…
Alexander D. Shenderov
This paper warns that fossil fuels will soon yield net negative energy, and advocates for solar energy with either local thermal storage or a global electric grid. The global grid approach ($127 trillion) is far more affordable than energy …
S. Jonathan R.-F., Rafael Liza, Félix Díaz +4
This critical review examines how Microbial Fuel Cells (MFCs) valorize biomass to align climate action (SDG13) with terrestrial life protection (SDG15). Bibliometric analysis from Scopus (2010–2026) shows exponential growth (R²=0.99954) in …
Gerardo Costabile Nicoletta
This paper critically examines how two expert institutions in Southern Italy discursively frame renewable energy as a driver of economic growth and geopolitical strategy. Using Discourse Theory, it analyzes reports and speeches from 2019-20…
Prerna Gupta, T. Satterfield, Milind Kandlikar +1
This paper analyzes survey data from multiple Indian states on public perceptions of risks and benefits of energy technologies including nuclear, wind, solar, hydro, coal, oil, and gas. Nuclear energy is perceived as the riskiest, while its…
(著者不明)
This paper analyzes electric power marketization reform from the perspective of energy law, focusing on electricity pricing systems and monopoly regulation. It discusses challenges and directions for institutional reform, primarily referenc…
Geis, Julian
This dataset provides optimized PyPSA network files (.nc format) for Germany's pathway to climate neutrality, covering three investment periods (2025, 2035, 2045) and four flexibility scenarios (LowFlex, LowBattery, Base, HighFlex). It incl…
Yanqin Jiang
Using panel data from 26 Chinese provinces (2013-2022), this study constructs a three-dimensional evaluation framework (cleanliness, security, efficiency) for energy transition and examines its relationship with carbon emissions. Energy tra…
Yu Zhang, Siti Norliyana Harun, Marlia M. Hanafiah
This study models sector-specific carbon emission trajectories for Beijing's industrial, building, and transportation sectors using a coupled STIRPAT-LEAP framework. It estimates elasticity heterogeneity and marginal abatement cost curves, …
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