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 621–640 of 4285 papers
Duah, Isaac Kojo, Essilfie, David Kobina, Sekyere, Charles Kofi Kafui +3
This dataset harmonizes techno-economic data from 930 small hydropower cases across 252 peer-reviewed studies, converting all monetary values to constant 2024 USD. It emphasizes reproducibility with an R script that regenerates all results …
Rodríguez Gómez, Alberto, Garcia - Quismondo, Enrique, LOBATO, JUSTO +2
This study experimentally analyzes a six-cell vanadium redox flow battery (VRFB) stack under real renewable profiles (solar and wind). Optimal current density of 60-80 mA cm-2 achieves 75% energy efficiency, improving to 80% under variable …
Hermanus, Davy Ronald
This study proposes an AI-driven situational awareness architecture for citywide energy governance, integrating digital twins and multi-drone verification. Simulations show reduced false anomaly confirmations from 16% to 6%, improved Situat…
BuildOn project
This policy brief examines the potential of smart technologies in Europe's building stock to accelerate decarbonization, energy efficiency, and occupant wellbeing. It argues that digitalizing energy management is crucial for meeting climate…
Saleh, Ahmed, Mehta, Kedar
This review analyzes why heat pumps in European urban buildings underperform, focusing on control and integration. Reviewing 34 peer-reviewed papers and 7 technical sources, it identifies four deployment barriers: model identification cost,…
Tianwu, 杨广场
This dataset provides comprehensive data on the synthesis, structural characterization, electrochemical performance, kinetic mechanisms, and interfacial stability of core-shell hard carbon fabricated via waste-battery catalysis. It supports…
Varela A.V.
This paper analyzes the distributional impacts of carbon capture (CCS) deployment in the US power sector, assessing how costs and benefits are unevenly distributed across regions and income groups, and urging equity considerations in policy…
Kotzampasakis M.
This paper provides a systematic literature review and policy assessment of the EU's maritime emissions trading system (ETS). It analyzes the effectiveness, design challenges, and industrial impacts of ETS in decarbonizing the shipping sect…
Chen H.
This paper empirically examines whether carbon emissions trading schemes improve corporate environmental responsibility. It analyzes the impact of policy implementation on firm-level environmental performance, likely using Chinese emissions…
Wang C.
This paper empirically analyzes the impact of China's carbon emission trading policy on energy conservation and emission reduction in the thermal power industry, and explores the underlying reduction mechanisms. It contributes to evaluating…
Ullah Z.
This case study examines the role of virtual power plants (VPPs) in the UK's net zero targets. It analyzes how VPPs contribute to renewable integration and grid balancing, and considers policy and regulatory frameworks. The paper clarifies …
Zibin Wang, Jinshan Dai
This study models distribution networks in the consumer electronics sector to analyze vehicle energy choices under carbon governance scenarios. Carbon trading emerges as the most effective policy, improving profitability while reducing emis…
He Jiang, Rongyu Cao
This paper proposes an explainable time-varying feature selection method for predicting EU ETS carbon prices. It uses AI/ML to dynamically identify key drivers, balancing predictive accuracy with interpretability. Empirical analysis on EU E…
Liqiang Duan, Shangyou Huang, Qiushi Wang +3
This paper proposes an active control strategy for a combined cooling, heating and power (CCHP) system integrated with a solar-assisted adsorption enhanced hydrogen production process. By combining renewable energy with hydrogen production,…
Lisanne H. J. A. Kouwenberg, Melisa Demir, Lisa van Bodegraven +6
This prospective study in a Dutch tertiary hospital calculated the carbon footprint of anaesthesia for 50 Caesarean deliveries. Mean footprint was 5.6 kg CO2-eq per delivery, with disposables contributing 80%, mainly from neuraxial trays, s…
Zijun Zhang, Jiacheng Li, Haifeng Li +2
This study recycles photovoltaic backsheet waste into porous carbon for supercapacitor electrodes, offering a circular economy approach for solar panel waste and advancing energy storage materials.
Chao He, Yunjie Su, Sirui Zhang +2
This review systematically examines the use of large language models (LLMs) in low-carbon smart energy systems, focusing on cloud-edge power IoT. It analyzes five technical themes: task offloading, dynamic edge resource allocation, low-late…
Rayan Basheer M.Ameen, Dilveen Waheed Mohammed
This study presents a reproducible stochastic multi-objective framework for optimizing metallic charge blends in low-carbon EAF steelmaking. It integrates cost, carbon emissions, circularity, metallic yield, residual-element limits, multi-c…
Archie Nathanael Mulyawan, Nataniella Eva Kezia, Verena Jesslyn Utama +1
This qualitative study examines how accountants, as ESG analysts and strategic leaders, enhance sustainability report transparency using the Susteineri system integrating IoT and AI. Real-time data collection enables monitoring of carbon em…
Zhekai Fang
This study uses meta-analysis and a standardized SOC model to compare carbon stocks in tropical primary forests and oil palm plantations. Oil palm plantations incur high carbon debt, while primary forests maintain superior biomass and deep-…
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