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 20301–20320 of 36417 papers
Xuan Wu, Jack Gower, Solomon F. Brown
This paper presents a closed-loop framework combining an agent-based market simulator with heterogeneous investors for the UK electricity market. It finds that mid-CAPEX leads to higher total capacity than low-CAPEX by 2050, and that high s…
Santosh Kumar Behera Santosh Kumar Behera, Sibani Sahu Sibani Sahu, Madhab Chandra Jena Madhab Chandra Jena
This review examines pathways for India to reduce fossil fuel dependence, including renewables, green hydrogen, biofuels, transport electrification, energy efficiency, and policy interventions. It concludes that a diversified portfolio supp…
K. Adilkhanov
This study explores the potential to conceptualize the right to decarbonisation as an emerging human right under international climate and human rights law. Using qualitative legal research, it analyzes UNFCCC, Kyoto Protocol, Paris Agreeme…
Anh Nguyen-Ngoc-Lan, Anh Bui-Tuyet, Nhu Hung Duong +1
This study develops an Artificial Neural Network combined with NLP to classify Vietnamese corporate news into Environmental, Social, and Governance pillars. Using TF-IDF and grid search, the Environmental model achieves 90.48% accuracy and …
L. R. Gorjão, H. Nygård
This paper compares the Nordic Grid Development Perspective 2025 (NGDP) with a least-cost transition pathway for the Nordic power system using PyPSA-Eur under a net-zero CO2 constraint. While wind and solar expansion patterns are similar, h…
Mireille Chiroleu‐Assouline, Xavier Koch
This paper theoretically analyzes how committed emission taxes affect the adoption of cleaner technologies under uncertainty. It shows that fixed carbon prices can lock firms into inferior technologies, especially when the regulator misesti…
E. Corsetti, Italy C. Vannucchi, S. Rao
This paper quantifies regulatory barriers facing multi-energy systems in Italian flexibility markets, showing that reforms such as lowering minimum bid sizes and allowing asymmetric flexibility achieve around 20% cost savings. Yearly analys…
A. Adekunle
Using ARDL on 1990-2023 data, this study finds a negative relationship between renewable energy and economic growth in Nigeria. It suggests that shifting exports toward greener products could reduce emissions, but highlights regulatory and …
Zhensong Zeng, Ye Yao, Dingfei Que +1
This paper proposes a shared electricity-ammonia energy storage operation mode for island microgrid clusters to address spatiotemporal energy mismatches. A bi-level optimal scheduling model is constructed where the upper-level storage opera…
Lixin Tan, Xian Zhang, Yidian Zhu +2
This study develops a safe deep reinforcement learning (DRL) scheme for online operational decision-making in hydrogen-blended integrated electricity-gas systems with wind power and stochastic EV loads. The problem is formulated as a constr…
Edvin Stefani
This paper examines how climate-related risks—physical (extreme weather) and transition (EU ETS, CBAM)—affect Foreign Direct Investment (FDI) in Eastern European Emerging Markets (EEEMs). Focusing on Poland, Romania, Czech Republic, and Hun…
H. Almi, Aboubaker Khoualed
This paper analyzes the impact of the EU's Carbon Border Adjustment Mechanism (CBAM) on Algeria's hydrocarbon exports. It examines the legal framework and WTO compliance, finding the economic impact limited to about 0.2% of GDP, but concent…
D. Akbar
This study assesses grid-connected solar PV across five Turkish climate zones. Annual AC energy yields ranged 46.9–885.9 MWh, PR 0.799–0.860. Carbon credit analysis shows a 4.4 percentage point IRR improvement under EU ETS pricing (€69.16/t…
Kaige Tian, Pengyu Xiang, Xianhui Wang +7
This paper proposes a CO2-assisted oxidative dehydrogenation-hydroformylation (CO2-ODH-HF) cascade for propane upgrading. By replacing conventional propane dehydrogenation with a CO2-ODH reactor, the system becomes syngas self-sufficient, e…
Tianli Huang, Grace T. R. Lin
Proposes an Interpretable Quantile Temporal Network (IQTN) for the Chinese carbon allowance (CEA) market, integrating feature gating, causal temporal convolution, and non-crossing quantile layers to forecast multi-horizon VaR and CVaR. Achi…
Huanrui Ma, Sheng Wang
As the EU's Carbon Border Adjustment Mechanism (CBAM) fully takes effect in 2026, China faces rising export costs and industrial competitiveness challenges. This study uses a CGE model and structural decomposition analysis to simulate a por…
Kyril Kaufmann, Georgios Tsaousoglou
This paper analyzes how transmission network constraints affect the trade-off between economic cost and carbon emissions in power systems. Using a network-aware model, it reveals saturation effects and spatial asymmetries that are misrepres…
Zhaolin Chen, Jie Yu
This paper proposes a low-carbon scheduling model for virtual power plants (VPPs) that integrates electricity-carbon coupling and demand response. A coupling coefficient embeds carbon cost into time-of-use pricing, and a ladder carbon tradi…
D. Revoltella, Fotios Kalantzis
Survey evidence shows manufacturers respond positively to the EU carbon price but seek reassurance on policy direction and stringency. The EU ETS is effective, but most industrial decarbonization remains to be achieved.
Cathrine Hagem, S. Kverndokk, Knut Einar Rosendahl
This paper analyzes the EU ETS compensation scheme for indirect carbon costs, finding that while the ETS price signal reduces production and increases electricity efficiency, compensation can counteract these effects by boosting production …
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