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 37113 papers
Guéret, Adeline, Gaete-Morales, Carlos, Schill, Wolf-Peter
Using a German power-system model, this study compares vehicle-to-grid (V2G) and large-scale smart charging as sources of EV flexibility. It finds that a moderate V2G share outperforms mass smart charging and delivers benefits to other elec…
Zilio, Samuele, Zandonella Callegher, Claudio, Prina, Matteo Giacomo +1
This repository publishes spatially explicit renewable energy potential estimates from Task 2.2 of the LIFE-funded PLANtoACT project (2025-2028), covering five European pilot regions in Germany, France, Italy, Portugal, and Romania. PV pote…
Yu, Minghao, Tang, Yufei, DeVito, Louis +3
This work develops a physics-informed deep learning framework that estimates three-dimensional subsurface velocities in the Florida Straits from 35 gridded surface and hydrographic input channels. It aims to improve depth-resolved reconstru…
Tamang, Samiksha, Grandelli, Patrick, VanZwieten, James +2
OTEC generates continuous baseload power from the temperature difference between warm surface and cold deep seawater. This study updates a power prediction model for mid-scale (20-30MW) OTEC plants using ocean temperature gradient data and …
Do Prado, Victor, Redigan, Noah, Mountcastle, Emily +5
Marine hydrokinetic energy, notably the Gulf Stream, offers a predictable, continuous renewable resource for coastal electrification and grid resilience. This senior design project builds a high-fidelity hardware-in-the-loop (HIL) platform …
Singh, Shreepooja, Singh, Deepi, Bhansali, Gaurav +1
Proposes a hybrid energy storage system (HESS) that splits tidal and wave power fluctuations by frequency, with a battery handling bulk shifts and a supercapacitor absorbing high-frequency transients. A real-time co-simulation framework com…
Emamdoost, Nazila, Sharman, Krish Thiagarajan, Shoefs, Franck +1
Marine biofouling on offshore wind, wave, and tidal devices raises hydrodynamic loads, shortens fatigue life, and increases inspection and maintenance needs. This study proposes an integrated AI framework combining deep-learning image class…
Sardjono, Wahyu
This paper synthesizes AI applications (machine learning, deep learning, reinforcement learning) in smart grids and maps their direct contribution to SDG 7. It finds AI-driven forecasting cuts renewable generation forecast errors by up to 2…
Anish Kumar,, Pullaiah Cheepi
A bibliometric analysis of 565 Scopus publications (2004–2025) mapping the intellectual structure of green finance and carbon emissions research. Using co-word, co-citation, bibliographic coupling, thematic mapping and collaboration network…
Raszka, Lukáš, Grycz, Ondřej, Vilamová, Šárka +1
Replication package for a study testing whether the EU ETS actually induced slower steaming and emission cuts in shipping at the ship level. It bundles unmodified EU MRV annual data (2018-2025), EUA/VLSFO/FX price data, and Python code repr…
Yakubov, Dilshod Kamildjanovich, Dalmuradova, Nargiza Nurillaevna
Assesses Uzbekistan's exposure to the EU CBAM, which entered its definitive phase in 2026. CBAM-covered goods make up 21.6% of EU imports from Uzbekistan, 90.4% of it fertilizers. Using EU default emission values, free-allocation phase-out …
Wasilewski, Adam
A reproduction dataset for a study applying LLMs to assess net-zero commitments in transportation-sector ESG disclosures. It covers 25 corporate reports across aviation, maritime, road freight, rail, and logistics, with source reports, a PR…
Rahman, Samiur, Alkaraan, Fadi, Aly, Doaa
This record retrospectively archives the protocol and datasets for a PRISMA 2020 systematic review of UK evidence (2021-2025) on hydrogen freight adoption and readiness among SMEs. It includes search records, a full screening matrix, QuADS …
Fei Wang, Jiaojiao Sun
This work appears to address root-cause identification and attribution for low-carbon governance in smart industrial parks. It likely offers methods to disentangle which factors drive emissions or policy outcomes at the park level. Though n…
Xin Yue Song, Minjie Lin, Chi‐Wei Su +2
This paper asks whether intelligent transportation systems can steer mobility toward a low-carbon future. No abstract is available, so the empirical method, case region, and quantitative findings cannot be verified. The title suggests a stu…
Hongyuan Qi, Qinyuan Hong, Wenjun Huang +3
This mini review traces heavy-metal control in industrial flue gas from release and speciation chemistry through gas-phase regulation, interfacial capture, and removal in conventional air-pollution-control devices. It highlights low-carbon …
Ruopu Yang, Pingliang Zeng
A system-dynamics model integrating economy, policy, technology, demand, and flexibility subsystems simulates China's power mix to 2060, embedding a green-certificate–carbon-market linkage. It quantifies a triple-threshold carbon price effe…
Adem Altay
This dataset provides the processed data and Python code to reproduce all results, tables and figures in a study of the early trade effects of the EU CBAM's definitive phase, using evidence from Türkiye. It is a replication package enabling…
Najmeh Sajedianfard, Ramin Movaghari, Mark Melatos +1
A study on reconfiguring regional crude oil trade networks toward a low-carbon and cost-efficient transition. It appears to explore trade-route optimization balancing emissions reduction with cost efficiency. Details of methods and findings…
Qunzhi She, Yi Wang, Kaiwen Wang
Using panel data for 19 manufacturing industries across 51 countries (2014-2022), this study finds that digital services trade openness significantly reduces manufacturing carbon emission intensity. Effects are stronger in more developed an…
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