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 2861–2880 of 5822 papers
Antonio Pesenti, A. O'Sullivan
This paper combines deep neural networks with explainable AI (XAI) to analyze electricity price drivers across 39 European bidding zones. Using SHAP, it finds that renewable energy (especially solar) plays a disproportionately important rol…
Peng Ji, Yiman Liu, Nan Li +1
This paper develops a bilevel optimization framework for nuclear power plants participating simultaneously in energy, reserve, and capacity markets. The model captures system operator welfare maximization and nuclear operator profit maximiz…
Xin Zhao
This paper proposes a joint bidding model for multiple electricity markets (day-ahead, real-time, reserve, frequency regulation) under price limits, incorporating risk preferences. Using 17,520 hours of data from 4 trading zones, the method…
Francesca Curinga, Lorenzo Vitulano, A. Zani
This paper presents a modeling framework to assess the impact of alternative bidding behaviors on price formation in the Italian Day-Ahead Market (2023-2024), supporting a regulatory investigation. It focuses on strategic bidding by combine…
Umair Khan, Shouwen Wang, Zhaohui Qin +4
This paper proposes the PODO model, a financial framework using Security Token Offerings (STOs) to enable fractional public investment in renewable energy and early capital recovery. Quantitative simulations using Korean power market data (…
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…
Zhihan Sun, Wenbo Sun, Tianhao Yu +3
This review focuses on the molecular design of organic and porous framework cathodes for aqueous zinc-ion batteries (AZIBs). It systematically analyzes soft organic small molecules, polymers, MOFs/COFs with structural tunability and redox a…
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…
Buğra Arda Zincir
This bibliometric analysis examines research on digital twin applications for maritime decarbonization. Analyzing 102 Scopus-indexed articles, it identifies growing publication trends and major thematic clusters including operational optimi…
Ahmad Yani, Widya Wijayanti, Mega Nur Sasongko +2
This study evaluates low-temperature pyrolysis of post-consumer PET using activated carbon from Euxideroxylon zwageri (EZAC) as a renewable catalyst. At PET:EZAC=90:10, maximum oil yield of 80.8 wt% was achieved with fuel properties: RON 97…
Liyin Shen, Xiangrui Xu, Zeyu Cao +4
This study diagnoses low carbon practice performance across 297 Chinese cities using a dual assessment framework covering dimensions (environmental, economic, social) and processes (planning, implementation, outcomes). It identifies perform…
Johannes Kern, Carsten Gondorf, Ali Abdelshafy +1
This study proposes a spatially and temporally explicit TEA-LCA framework for assessing low-carbon steel pathways in Europe. It develops an integrated method to analyze techno-economic and environmental aspects of steel decarbonization, aim…
Hao Sun, Yue Wang, Meng Chen +4
This paper investigates the microstructural evolution and mechanical properties of low-carbon engineered cementitious composites after high-temperature exposure. It provides insights for assessing fire resistance of low-carbon materials, co…
Runlong Yang, Tianxin Hou, Mingmin Luo +7
This paper presents a phosphorus-mediated engineering approach for topological carbon rings in hard carbon to enhance bulk diffusion and achieve high-performance low-temperature sodium-ion batteries. It offers materials science novelty for …
Kester Onor
This paper uses a political economy approach and qualitative data to examine how OPEC members (Saudi Arabia, Nigeria, UAE) navigate the tension between climate commitments and hydrocarbon-dependent development. It finds that adaptive strate…
Faiz Mumtaz, Dadan Suryadipura
This paper analyzes the impact of the Just Energy Transition Partnership (JETP) on Indonesia's energy security from 2022-2024 using a sovereignty perspective. It finds that JETP partially strengthens sovereignty through diversification and …
Ainhoa Rubio-Clemente, Sergio Agudelo, Edwin Chica
This study develops independent energy transition indices for Global North (GNETI) and Global South (GSETI) using PCA, evaluating 7 countries each from 2013-2022. In 2022, Sweden leads GNETI (100.00) while Japan ranks lowest (11.86). Ghana …
João Marcelo Fernandes Gualberto de Galiza, Raphael Abrahão, Mónica Carvalho
The Brazilian Northeast has become a key hub for energy transition due to its high renewable potential. Analysis of the electricity mix from 2015 to 2023 shows wind and solar expansion reduced carbon intensity by 83% and total GHG emissions…
Miriam Elizabeth Blaine
This thesis develops a unified comparative emissions framework for methanol pathways, treating hydrogen sourcing and electricity carbon intensity as variables. It applies the framework to biogenic methanol from forestry residues and recycle…
Anita Ene Okute
This study examines stakeholder perceptions and adoption intentions for solar PV, small hydropower, and biomass in Nigeria's Energy Transition Plan using an extended Technology Acceptance Model. Findings reveal technology-specific drivers: …
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