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 1301–1320 of 4168 papers
He B.J.
This paper examines pathways to achieve net zero carbon in the built environment, outlining key strategies and policy interventions. It focuses on lifecycle emissions reductions, analyzing feasibility and challenges.
Z. Sanusi, Nur Aima Shafie, A. Ghazali +2
This conceptual paper addresses symbolic ESG reporting and proposes five integration mechanisms (board ownership, materiality discipline, target architecture, internal economic linkage, verification) that determine whether disclosure become…
Saritha Sudharmma Vishwanathan, Shinichiro Fujimori, Roberto Schaeffer +47
This paper presents a repository of national climate scenarios from 57 modeling teams across 36 countries, with standardized metadata for consistent evaluation. It covers business-as-usual, current policies, and net-zero pathways, enhancing…
Yiming Chen, Yining Guan, Fei Wu +1
Using GARCH-Copula-CoVaR on 2014-2023 ESG stock data from six major regions, this paper finds that climate policy uncertainty (CPU) generates extreme risk spillovers to most ESG stocks, with upside risks slightly larger than downside. Effec…
Elena Fleacă, Theodora Mihaela Doltu, Irina Kostadinova +9
A cross-country survey dataset on sustainability reporting practices, collected within the STAR project. It includes variables on environmental and social performance, governance, ESG reporting maturity and quality, stakeholder involvement,…
M. O. Oyegbile
This study applies a customized NSGA-II-based evolutionary algorithm to optimize CCS energy systems, achieving an 11.2% reduction in LCOE (from 114.6 to 97.4 USD/MWh) and lowering solvent regeneration energy to 2.85 GJ/tCO2. Validated with …
Tao Wu, Xinyu Li, Jie Li +2
This paper proposes a multi-agent system enhanced by large language models (LLMs) to optimize low-carbon energy scheduling under load and renewable uncertainties. It applies AI to energy transition, improving grid operation efficiency and s…
Xin Huang, Yixin Li, Keteng Jiang +3
This paper proposes a low-carbon optimal dispatch strategy that models dynamic carbon emission factors of thermal power units using spatiotemporal attention and absolute position encoding, integrated into a power-carbon coupled scheduling f…
Shankar Subramanian Iyer, Dr Brinitha Raji, Dr. Rajesh Arora +1
This scoping review examines the integration of circular economy (CE) and AI/digital technologies in the energy sector, combining 143 peer-reviewed sources with interviews of 15 industry leaders. It finds that CE offers significant value bu…
Idiano D’Adamo, Federica Di Santo, Alessandro Donadel +2
Based on two online surveys in Italy, this study analyzes motivational and behavioral determinants of participation in Renewable Energy Communities (RECs). Environmental concerns are the main driver, followed by economic benefits and energy…
Ján, Zbojovský, Marek, Pavlík, Diana, Hozová +1
This paper benchmarks electricity price forecasting models across markets with varying renewable energy shares, comparing methods from linear regression to Temporal Fusion Transformers. It analyzes how renewable penetration affects forecast…
Regueiro y González-Barros, Manuel
This paper reviews the geopolitical competition over strategic minerals like lithium, cobalt, and rare earths, focusing on the EU's dependence on China. It highlights the need for supply diversification, domestic mining, recycling, and inte…
Kacperski, Celina, Bielig, Mona, Lange, Florian +2
This paper proposes the Total Experimental Field Trial Error framework, systematically accounting for errors in field trials for the energy transition. Drawing on 12 trials, it shows how measurement, representation, and implementation error…
Kockat, Judit
This paper argues that buildings can actively participate in the energy system by providing demand-side flexibility. By shifting, reducing, or optimizing electricity demand, they help match supply and demand, manage peaks, and reduce pressu…
Open Energy Transition, Gilon, Thomas, Rüdt, Daniel +9
Open-TYNDP introduces an open-source PyPSA-Eur workflow to complement ENTSO-E's TYNDP, enhancing transparency and stakeholder participation in European energy planning. It provides a benchmarking framework against TYNDP 2024 scenarios and a…
Alimento, Ryan, Cook, Peter, Morimoto, Soichi +3
This supplementary file analyzes mineral demands and supply barriers for the energy transition in South and Southeast Asia. It identifies supply-demand gaps and policy challenges for critical minerals essential to regional decarbonization, …
Doepfert, Markus, Chu, Jiahe, Kraus, Hermann +3
This dataset accompanies a study that benchmarks eight competing electricity market architectures using agent-based modeling. It analyzes the trade-off between market design complexity and performance, offering insights for market rules tha…
Parrado-Hernando, Gonzalo, del Valle Sanchez, Cristina, Miguel González, Luis Javier
This supplementary material supports a study on how representing capacity deployment timing in integrated assessment models affects energy transition pathways and policy analysis. It includes model files, input data, scripts, and results to…
LEKBIR, DJAMEL
This study develops an Estimation-to-Compensation framework using double/debiased machine learning and causal forests to estimate installation-level heterogeneous effects of the EU ETS on ~1,900 German installations, validated on Chinese pi…
Mohammadi, Sepehr, Mostafa, Sherif, Jadidi, Zahra
This is a coded dataset and reproducibility package for a PRISMA-informed evidence map of AI and computational methods for carbon decision support in the built environment. It includes a 457-record audited database (335 primary studies, 102…
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