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 181–200 of 403 papers
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…
Chuanchao Li, Yuanhe Du, Shuangyang Zhai
Using data from 284 Chinese cities (2012-2023) and a quasi-natural experiment of climate-resilient city pilots, this study applies double machine learning and spatial lag models to show that climate risk governance significantly enhances ur…
Anonymous
Replication data for a two-period study of CSRD disclosure quality around the 2026 Omnibus scope reduction, covering 188 EU firms and 376 reports coded with a frozen LLM prompt on a ten-dimension instrument. Includes validation outputs (hum…
Liu Na, Wan Nordin Wan‐Hussin, Chin Sok Fun
This study examines whether ESG-linked executive compensation influences carbon disclosure quality in China's A-share listed firms, and whether board climate oversight mediates this relationship. Using panel data from 2021-2023, it finds th…
Luana Serino, Manlio Del Giudice, Francesco Campanella +1
This study empirically examines the impact of AI-related disclosure on ESG outcomes in U.S. firms. It investigates whether AI adoption and disclosure are associated with improved ESG performance, contributing to the emerging literature on A…
Jian-yun Lu, Qing-Yi Liu, Yu-Qi Wang +5
This study develops a Bayesian multiobjective optimization framework with Gaussian process surrogates and uncertainty-aware search to map trade-offs in pharmaceutical wastewater treatment. Optimized operating windows improve removal efficie…
Qian Ma, Chunxiao Liu, Kui Huang +6
This paper proposes D-PGNet, a deep projected gradient network that accelerates low-carbon economic dispatch with energy storage and carbon trading costs. It embeds physical constraints as differentiable projection layers, achieving optimal…
Le Sun, Jia Liu, Kuanhou Tian
Using Chinese A-share listed firms from 2008-2024, this study finds that low-carbon transition strategy disclosure increases analyst following. The effect is driven by enhanced investor relations and richer information environment, but mana…
Cristian Valentin Hapenciuc, Daniela Mihaela NEAMTU, Teodora Cajvan +1
This study applies FinBERT to financial news text to analyze the impact of ESG narratives on market volatility. Focusing on tech, energy, and banking sectors in Eastern Europe, it finds signs of a 'regime shift' where ESG transitions from a…
D. Barro, A. Basso, M. Corazza +1
This study uses machine learning to analyze the impact of the energy transition on Eurozone sovereign credit risk. It evaluates how the shift to renewable energy affects government bond yields and CDS spreads, offering insights into the imp…
Simona Epasto, Maria Lúcia, Masiel Melissa Pereira
This paper examines AI integration in agrivoltaic systems, focusing on socio-territorial implications for rural landscapes. Through case studies including the European SYMBIOSYST project and GIS/UAV geospatial monitoring, it analyzes how pr…
Minyou Qing, Suhaiza Zailani
This review systematically analyzes the application of AI-driven practices in road freight transport (RFT) decarbonization. Following the SPAR-4-SLR protocol, 227 articles were reviewed using bibliometric analysis and science mapping. Publi…
Browse by Topic