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 481–500 of 5759 papers
Elena Usobiaga Ferrer
XGBoost classifiers predicted residential heating energy vectors in Spain using open cadastral, census, and EPC data. Spatially aware models reached 73.6% accuracy, with neighbour energy probabilities providing the largest gain. Transfer to…
Yota Pacifico Oue, Meltem Ucal, George Xydis
Australia faces a paradox: fossil-fuel export dependence versus climate commitments. This paper argues its wind resources, comparable to the North Sea, can accelerate renewable integration, with solar and wind LCOE (including transmission) …
Park H.
This work examines coordinated energy storage operation within stochastic unit commitment, aiming to enhance reserve deliverability in power systems with high renewable penetration. It evaluates the expected benefits storage brings to syste…
Blok K.
A study assessing sectoral greenhouse gas emission reduction potentials through 2030. Without an abstract, details are limited, but it likely quantifies mitigation headroom across sectors, offering a basis for national and sectoral decarbon…
Kaya E.N.
A case study evaluating a port in terms of greenhouse gas emissions and energy use. It offers a site-level assessment of emissions and energy, providing baseline insight for port decarbonization. Methodology and scope are unclear as no abst…
Okereke C.
A long-term model-based scenario study assessing deep decarbonisation pathways and emission implications for Nigeria's power sector. It examines power-system decarbonisation and policy options in an emerging-economy context. No abstract is …
Oladapo B.I.
This paper analyzes how recycling 3D printing filament can contribute to net-zero goals from a sustainability perspective. It examines carbon emission reductions and circular manufacturing potential through plastic waste revalorization. Wit…
Valenzuela J.M.
This paper frames net-zero as a contested discursive space, analyzed through the concepts of publics and counter-publics. It treats decarbonization not merely as a technical or policy problem but as a site of social and political communicat…
Mahsati Askarova
Using 2005–2023 time-series data and an ARDL model, this study examines determinants of green economic development in Nakhchivan. Innovative investments and renewable energy production show significant positive long-run effects, while short…
Victor Bordejé, Morales Vargas, Antonio Guerrero-Ruiz +2
This review compares biogas upgrading technologies through a net-zero carbon lens, distinguishing pathways that merely separate CO2 from those that valorise it. Electrolytic H2 methanation and syngas routes convert CO2 into additional CH4 o…
Yujia Ji
Mixed-methods study of 20 rural villages in northern China (2023-24) combining interviews with evolutionary game theory and agent-based modelling. Energy poverty is shown to be reproduced through conversion burdens, housing quality, village…
Nurcan Kilinc, Maria Marlein Warong
An empirical study examining how energy transition progress relates to capital inflows and environmental outcomes across BRICS economies. The framing suggests green investment does not automatically attract capital or deliver environmental …
Felix N. Igbeghe
This systematic review examines literature on the dual challenge of expanding energy access while transitioning to cleaner energy sources in developing countries. Using content analysis, it identifies trade-offs and synergies between energy…
Behzad Zamanipour, Padam Adhikari, Farzin Ahmadi +1
This paper proposes a multi-dimensional framework for modeling the resilience of energy system transitions. Without an available abstract, specific contributions and findings cannot be confirmed, but it appears to offer a methodological app…
Тетяна Курбатова, Liliana Smiech, Iryna Mykolaivna Sotnyk +3
Using OLS on Ukrainian macro data (2002–2021), this study assesses how investment, energy efficiency, energy costs, and renewables drive CO₂ emissions. Macro energy efficiency emerges as the strongest decarbonization driver, while gross cap…
Yunita Sopiana, Dyah Maharani, Sutri Destemi Elsi +2
This study analyzes Indonesia's energy policy as a contested arena where decarbonization, power relations and distributive justice collide. Coal generates state revenue and energy security while concentrating socio-ecological costs, and nic…
Alavi SE
This paper reviews the role of deep learning and optimization techniques in smart grids integrating IoT and AI. LSTM networks, reinforcement learning, and Particle Swarm Optimization are presented as solutions for renewable variability, pea…
Mohseni Zonouzi, Seyyed Jamaledin, Aminpour Ghahramani, Pegah
Using a balanced panel of eight high-geopolitical-risk economies (2011–2023) and a gamma log-link GLM, this study tests whether industrial robot adoption drives renewable energy uptake. Robot density, labor participation, and R&D spending s…
Soares Siqueira, Abel, Tejada-Arango, Diego A., Morales-España, Germán +7
The Tulipa Energy Model is a Julia package for energy planning that integrates electricity markets with sector coupling. As an open-source optimization tool, it supports analysis of decarbonization pathways across power and other sectors (h…
Renee Obringer, Mir Matin, Kaveh Madani
This policy brief examines how domain-informed AI can complement traditional long-term energy infrastructure planning under climate uncertainty. It argues that stationary historical weather data and rigid models expose public investments to…
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