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 341–360 of 4822 papers
Pravesh Raghoo
This dissertation examines prosumer-centered transitions in peer-to-peer (P2P) energy trading across four studies, situated in Mauritius. A nationwide survey of 111 households reveals three trading archetypes: autonomy-oriented, price-drive…
Shamik Chaudhuri, Reza Afshar Ghotli, Züleyha Kudaş +9
Nitrogen-doped carbon nanotubes and reduced graphene oxide were deposited binder-free onto carbon cloth via horizontal electrophoretic deposition. Nitrogen-induced defect-rich graphitic domains enhanced charge-transfer kinetics, lowered int…
Feiwei Li, Dexing Sun, Junwei Zhang +3
This study proposes FMM, combining multi-objective ant-lion optimization with a multi-head self-attention deep neural network, to solve low-carbon economic dispatch in power systems. On IEEE 118- and 300-bus systems it cuts CO2 emissions by…
Yuhan Zhou, Huijin Xu, Maoyuan Sun +7
This study proposes a Social-Cognitive Navigation Framework (SCNF) using historical AIS trajectories and online sensor data to improve autonomous ship safety and efficiency. Integrating a Recursive Hypergraph Transformer, Level-k reasoning,…
María Castrillo Melguizo, Jaime Iglesias Blanco, Judith Sáinz-Pardo Díaz +1
Wattnet is an open-source tool that jointly assesses the carbon and water footprints of electricity consumption across Europe at 15-minute resolution, tracing cross-border flows. Comparing generation-based and consumption-based footprints f…
Siwoong Kim, Sanggyu Kang
This study evaluates life-cycle and carbon-cost trade-offs across configuration and operation choices of a solid oxide fuel cell (SOFC) integrated hybrid desiccant cooling trigeneration system. No abstract was available, but the work appear…
Bin Xu, Jian Zhao, Yibo Ding +3
Proposes a peer-to-peer trading mechanism for microgrids with heterogeneous energy sources that explicitly embeds carbon responsibility into each transaction. By attributing emissions within the trading design, it aims to balance fairness a…
Andrew G. Ross, Patrizio Lecca, J. Kim Swales
This paper develops a unified wage-setting framework—incorporating nominal/real rigidities, money illusion, inflation expectations, and unemployment responsiveness—into a dynamic CGE model linked to a bottom-up energy system optimization mo…
J. Cavalli de Meira
A qualitative study of 17 traditional communities in Bahia, Brazil, examines how wind and solar projects produce spatial injustice. It identifies five dimensions—territorial wholeness, exclusion, knowledge dismissal, temporal-spatial manipu…
Krista Petersone, Jurģis Šķilters
Comparative analysis of energy-sharing pilots in Estonia, Finland, Latvia, and Sweden under the EU framework. Identifies barriers around DSOs, data platforms, and market integration, and proposes three policy opportunities: rewarding system…
Haiwei Gu, Michael G.H. Bell, Ze Wang +3
This study applies evolutionary game theory to analyze green corridors as a mechanism for decarbonizing shipping. It models how strategic interactions among ports, shipowners, shippers, and governments shape the adoption of green fuels and …
Sheridan Few, Tim Braunholtz‐Speight, Peter Taylor
This paper examines how energy network transformation costs and benefits are distributed, warning that energy-poor households may overpay for upgrades that mainly benefit wealthier users adopting heat pumps and EVs. Drawing on UK workshops …
J.H. Fernandes, Rita Pestana, Chiara Lazzari
The Plan4COLD methodology supports South European municipalities in preparing Sustainable Local Heating and Cooling Plans (SLHCPs) under Article 25 of the EU Energy Efficiency Directive. Structured in five phases—preparation, baseline asses…
María Cecilia Ruiz Cardona, Carlos Humberto González Escobar
This paper examines an implementation architecture for just energy transitions in extractive-dependent developing economies, using Colombia as a case. It focuses on how governance conditions translate into practice, linking transition polic…
Megan J. Cole, Tracy Ledger
This work examines reallocating water currently consumed by coal-fired power plants and coal mining to support a just energy transition. As coal assets retire, freed water could be redirected to other uses, easing community impacts and impr…
Stephane Bourgeois, Yves Marignac, Nicolas Taillard +1
This study benchmarks eight major European climate scenarios using 14 indicators to assess how demand reduction versus supply-side options shape climate ambition. It finds demand reduction correlates positively with ambition, feasibility, a…
Amjid Khan, Rashid Abbas Khan, Dilawar Hassan +5
This review synthesizes microbial electrochemical technologies (METs) as a route to decentralized, resource-recovering wastewater treatment, bridging extracellular electron transfer kinetics with green-synthesized nanomaterials, quantum dot…
Ammar M. Khourchid, Hazrat Bilal, Fatima‐Zahra Lahlou +6
A study analyzing how changing climate and socioeconomic scenarios shape future energy demand and optimal power generation mixes. It quantitatively explores mix optimization under scenario-dependent demand shifts, with implications for deca…
López de Juan, Rubén, Emaldi, Mikel, Legarda, Jon
This paper proposes Data Spaces as infrastructure for fair, transparent decision-making in Renewable Energy Communities (RECs). By letting stakeholders retain control over their data while enabling governed, policy-based access, Data Spaces…
Topa Chuquitarco, Cristian Paúl
Using one-second Great Britain frequency data and half-hourly generation/demand data (2020–2026), this study builds and validates a Data-Driven Operational Frequency-Security Envelope (DOFSE) via quantile regression, GAM, XGBoost and SHAP. …
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