GX Research Hub · English

GX & Decarbonization Research

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.

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Showing 16521–16540 of 35487 papers

🌍 GlobalConference2026 22nd International Conference on the European Energy Market (EEM)2026#scope2DOI

“We are powered by 100% renewable energy.” – The impact of temporal and spatial matching in voluntary green electricity markets

Lissy Langer

This study empirically analyzes the impact of the proposed GHG Protocol revision requiring temporal and spatial matching for RECs in scope 2 accounting, using open European data. It finds that the effect varies by country, time of day, and …

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Peer-reviewed🇪🇺 EuropeJournalJournal of Physics, Conference Series2026#Energy TransitionDOI

Zonal Flexibility Assessment of High-Renewable Power Systems: A KPI-Based Study of the SE3 Bidding Zone in Sweden

Chenyu Su, Yixing Du, Anders Avelin +2

This study proposes four KPIs (NLRR, IRRE, FRM, IFI) to assess power system flexibility under high renewable penetration. Applied to Sweden's SE3 zone in 2024, results show high flexibility adequacy with limited ramping shortages (IRRE 0.03…

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Peer-reviewedJournalarXiv.org2026#Renewable EnergyDOI

Stochastic EMS for Optimal 24/7 Carbon-Free Energy Operations

Natanon Tongamrak, Kannapha Amaruchkul, W. Wangdee +1

This paper proposes a two-stage stochastic optimization model for 24/7 carbon-free energy (CFE) operations, minimizing cost while meeting CFE compliance. Using deep learning forecasts for load and solar generation, the model optimizes batte…

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Peer-reviewedJournalIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2026#AI × ESGDOI

Cross-Causal CarbonFormer: Rethinking Forest Carbon Density Estimation With a Causal Spatiotemporal Framework

Boaz Mwubahimana, Dingruibo Miao, Jianguo Yan +7

This paper proposes CarbonFormer, a causal spatiotemporal framework for forest aboveground carbon density (ACD) estimation. It overcomes CNN limitations by using an LSTM-based temporal causal decoder and a cross-causal loss function to enfo…

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Peer-reviewed🌍 GlobalJournalJournal of Risk and Financial Management2026#AI × ESGDOI

Artificial Intelligence and Climate Risk in Finance: A Bibliometric Review of Emerging Trends and Analytical Frontiers

Triana Arias Abelaira, María Jesús Guillén Palomino, Lázaro Rodríguez Ariza +1

This study uses a bibliometric approach to analyze 221 articles on climate risk in finance, focusing on the integration of AI techniques. It finds that NLP and digital transformation are key themes, linking AI innovation policies to greenwa…

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Peer-reviewed🇨🇳 ChinaJournalTechnological Forecasting and Social Change2026#Energy TransitionDOI

Drivers of heterogeneous artificial intelligence in corporate energy transition

Wei Shan, Renbo Shi, Changfeng Cheng +1

This study examines how production-oriented AI and R&D-oriented AI differentially impact corporate energy transition using panel data of 4,416 Chinese listed firms from 2010 to 2023. Production-oriented AI enhances energy transition via imp…

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