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 161–180 of 394 papers
Caixuan Zhan
This paper develops a two-echelon cross-border supply chain model integrating blockchain, vertical spillover of emission reduction, and consumer low-carbon preference under EU CBAM. Using Stackelberg games, it compares centralized vs. decen…
Guorui Wang, Liang Zhong, Yixuan Zeng
This review systematically synthesizes evolutionary game theory (EGT) fused with AI (deep reinforcement learning, federated learning, blockchain) across three scales: enterprise-level industrial symbiosis, system-level smart energy operatio…
Lu Wang, Chunyan Sun, Xiaoyu Wang
This review surveys AI-enabled low-carbon technologies in the oil and gas industry, covering core needs, applications across key processes, comparisons of AI methods, challenges, and future trends. It serves as a reference for researchers a…
Jiamin Zhang, Yang Qian, Christina W.Y. Wong +1
This study examines how configurations of institutional pressures affect firms' low-carbon behaviors (hard and soft) and the moderating role of AI capability. Using panel data from Chinese A-share listed firms (2007-2022) with cluster analy…
İlker Mert, Hüseyin Yağlı, J. Costa +1
This study combines NLP and stochastic techno-economic modeling to analyze Türkiye's national hydrogen strategy. Baseline LCOH is 4.89 €/kg with electricity price as dominant driver. Proactive policy intervention raises the probability of r…
Oskars Bagants, Raita Rollande, Juris Klonovs
The construction sector accounts for ~34% of global energy-related CO₂ emissions, yet carbon accounting is not integrated into cost estimation and procurement. This study proposes the AI-driven 'EEBOQ' framework, combining LLMs, ontology-ba…
Tuğba Yeğin
This study examines how GenAI-based carbon footprint feedback (AI-CFB) influences consumer purchase intentions for renewable energy-powered products (REPPs). Analyzing 841 Turkish participants with PLS-SEM, it finds AI-CFB as an antecedent …
Chen Song, Zhihao Gao
This paper empirically examines how CEO-chairperson dialect connections affect corporate carbon emissions. Findings show that such connections significantly increase emissions, especially in competitive industries, non-state-owned firms, an…
Wen Xiang, Jianzhong Gao
Using survey data from 10,057 kiwifruit growers in China, this study applies machine learning (random forest, SHAP) to analyze how farmers' digital capabilities affect initial and sustained adoption of low-carbon agricultural technologies. …
Helena M. Ramos, Chetan Rishi, Óscar E. Coronado-Hernández +3
This study proposes an MCDA framework combining machine learning (EL-SVM, decision tree, logistic regression) with AHP to evaluate candidate sites for hybrid renewable energy systems (HRES) integrating solar, wind, hydropower, and storage. …
Zeeshan, Mohammad
Scope3Scout is a 16-agent platform that automates ESG and CSRD supply chain compliance verification using a multi-agent architecture. It automates verification of supplier data and was a TinyFish Accelerator finalist. It demonstrates a nove…
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…
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…
Eduardo Andres Pardo-Piñashca, Muhammad Shahbaz, Ioannis Kyriakou +1
This paper examines AI as a general-purpose technology and its impact on the energy trilemma (security, equity, sustainability). It discusses AI's transformative role in optimizing energy systems and informing policy, offering insights for …
A. Wesley, T. Kangwansura
This paper reports a drilling contractor's transformation from annual sustainability disclosure to an operational, AI-enabled emission management system. Based on a 2021 GHG baseline, operational control boundaries, and Net Zero 2050 commit…
Ruolan Zhang, Wei Shen, Dejian Wei +2
This paper proposes a dynamic network framework integrating AIS and MRV data to assess shipping traffic resilience and green operations. Using real AIS and full-year DGX data, it computes functionality curves and Resilience-Green Index valu…
Bo Zhao, Jafar Hussain, Zhenyu Qiu +2
This study analyzes the impact of adopting Smart Emission Control Systems and Energy Security on CO2 reduction and profitability in a supply chain of 500 manufacturers, agents, and retailers using game theory and simulation-based optimizati…
Browse by Topic