GX Research Hub · English
GX & Decarbonization Research
This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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.
PreprintOSF Preprints (OSF Preprints)2026#AI × ESG
Power Below the Pedestal, The Conscious Surgical Floor: A Scoping Review of Sustainable Infrastructure for Minimizing Carbon Footprints and Optimizing Energy Usage in Operating Rooms
Sina Rostami, Muhammad Bilal, Mehrdad Taghipour
This scoping review systematically maps technologies and strategies to reduce energy use and carbon footprints in operating rooms, evaluating methods from HVAC optimization to AI-driven management. It identifies a gap in kinetic energy harv…
JournalApple Academic Press eBooks2026#AI × ESGDOI
Artificial Intelligence-Based Decision Support Systems for Renewable Energy Investment and Deployment for Transition to Sustainable Energy
Venkata Krishna Reddy, Aadam Quraishi, G. C. Prashant +1
This paper proposes a deep learning-based decision support system (DSS) for renewable energy (RE) investment and deployment. It uses CNNs to extract features from weather, energy, and economic data, RNNs to forecast energy demand and supply…
JournalApple Academic Press eBooks2026#AI × ESGDOI
AI-Powered Green Energy: Transforming the Renewable Landscape
Lila Simon, Abino Simon, Aalbin Simon
This chapter explores the integration of AI and renewable energy for a sustainable energy ecosystem. It reviews the renewable landscape in India and globally, detailing AI applications in solar, wind, hydro, biomass, and geothermal, includi…
Peer-reviewed🇪🇺 EuropeJournalSustainability2026#AI × ESGDOI
A Computational Pipeline for Hierarchical Evocation Analysis of Renewable Energy in Online Climate Discourse
Michelangelo Misuraca, Luca D’Aniello, Maria Spano
This study analyzes renewable energy social representations in Reddit climate discourse (2018-2026, 91,817 comments) using a computational adaptation of the Hierarchical Evocation Method. Combining theory-informed lexical anchoring with dat…
Peer-reviewedJournalFinance Research Letters2022#AI × ESGDOI
Cheap talk and cherry-picking: What ClimateBert has to say on corporate climate risk disclosures
Bingler J.A.
This paper uses ClimateBert, a specialized language model, to analyze corporate climate risk disclosures, focusing on 'cheap talk' (substantively empty claims) and 'cherry-picking' (selective disclosure of favorable information). It offers …
Peer-reviewed🇨🇳 ChinaJournalSustainability2026#AI × ESGDOI
Climate Policy Uncertainty and Corporate Sustainable Performance: An Empirical Study Based on Chinese Listed Companies
Xiao Qin, Quan Fang, Yuan Virtanen
This study empirically examines the impact of climate policy uncertainty on corporate sustainability (ESG scores) using Chinese A-share listed firms from 2016 to 2025. Employing a two-way fixed-effects model, it finds that climate policy un…
Peer-reviewed🇨🇳 ChinaJournalSystems2026#AI × ESGDOI
Evolution of Coupling Coordination Between Artificial Intelligence and High-Quality Energy Development: Evidence from China
Mengqi Yuan, Wenfei Zang, Guangchong Chen
Using provincial data from China (2012-2022), this study analyzes the coupling coordination between AI and high-quality energy development (AHCC). Both advanced, but AI lagged and regional disparities persisted, with intensifying spatial au…
JournalOpen Science Framework2026#AI × ESGDOI
Power Below the Pedestal, The Conscious Surgical Floor: A Scoping Review of Sustainable Infrastructure for Minimizing Carbon Footprints and Optimizing Energy Usage in Operating Rooms
Mehrdad Taghipour, Sina Rostami, Muhammad Bilal
This scoping review systematically maps technologies and strategies to reduce energy use and carbon footprints in operating rooms, including HVAC optimization and AI-driven management. It identifies a methodological gap in kinetic energy ha…
Peer-reviewedJournalJournal of Engineering and Technology (JET)2026#AI × ESGDOI
A COMPARATIVE ANALYSIS OF FINE TREE REGRESSION AND ANFIS FOR PREDICTING CARBON FOOTPRINTS IN RESIDENTIAL CONSTRUCTION
Rufaizal Che Mamat, Azuin Ramli, M. N. A. Ghani +3
This study compares fine tree regression and ANFIS for predicting carbon footprints across four stages of residential construction. Using 2000 observations, ANFIS outperformed Rtree in all stages, achieving lower RMSE values, especially in …
PreprintarXiv (Cornell University)2026#AI × ESGDOI
Proceedings of the 2nd International Workshop on Low Carbon Computing (LOCO 2026)
Adrian Friday, Abdessalam Elhabbash, Ignatius Ezeani +3
This volume contains the proceedings of the 2nd International Workshop on Low Carbon Computing (LOCO 2026), held at Lancaster University, UK. It covers topics such as carbon measurement and reporting, sustainable software engineering, energ…
Peer-reviewedJournalCase Studies in Construction Materials2026#AI × ESGDOI
Unlocking the Carbon Sequestration Potential: Machine Learning-Driven Low-Carbon Design of Recycled Aggregate Concrete
Yao Lv, Jincheng Mu, Kanglei Du +2
This study proposes a machine learning-driven approach to optimize the mix design of recycled aggregate concrete, maximizing its carbon sequestration potential. It aims to reconcile low-carbon design with carbon fixation, contributing to de…
Peer-reviewed🇨🇳 ChinaJournalISPRS International Journal of Geo-Information2026#AI × ESGDOI
From Spatial Evolution to Low-Carbon Transition: Regional Heterogeneity and Stage Diagnosis of Carbon Emissions Across 19 Urban Agglomerations in China
Ye Duan, Minghan Yang, Zhaowei Hou +3
This study analyzes spatiotemporal carbon emission patterns across 19 Chinese urban agglomerations (2006-2023) using spatial statistics and machine learning (random forest, SHAP). It identifies industrial structure and economic development …
PreprintResearch Square2026#AI × ESGDOI
From Digital Twin to AI-Integrated Control: A Review and Research Agenda for Large-Scale PEM Electrolyzer Plant Management
Bora DK
This review focuses on large-scale PEM electrolyzer plant management for green hydrogen production, highlighting the limitations of digital twin technology. Passive digital twins cannot autonomously close the control loop, causing predictio…
DatasetZenodo2026#AI × ESGDOI
Hybrid Energy Storage Dataset
Ziya07
This dataset contains 5-minute interval operational data from a synthetic Hybrid Energy Storage System (HESS), including solar/wind generation, grid power, battery/supercapacitor states, hydrogen production, load demand, supplied power, pow…
PreprintZenodo2026#AI × ESGDOI
Hybrid Energy Storage System Dataset and Reproducibility Code for Multi-Task LSTM–GRU-Based Power Loss Prediction
ALPSALAZ, Feyyaz, Aslan, Emrah, Özüpak, Yıldırım +1
This repository provides code and dataset for an explainable multi-task LSTM-GRU framework predicting power loss and assessing energy efficiency in hybrid renewable energy storage systems. It includes preprocessing, sliding-window generatio…
DatasetZenodo2026#AI × ESGDOI
cdp-atlas: Structural Analysis of the CDP Corporate Questionnaire (Module 7, 2024–2026) — Rights-Safe Aggregate Release
Kokubu, Hiroyuki
This dataset release analyzes the CDP corporate questionnaire (Module 7) as an institutional computation device, modeling 2,958 datapoints across 2024-2026 cycles. Each datapoint is classified on three axes (Substance, Narrative, Enforceabi…
Peer-reviewedJournalInternational journal of research and innovation in social science2026#AI × ESGDOI
Green by Design: A Methodology for Digital Experience Carbon-Aware Enterprise Architecture (EA)
Nik Abdullah Bin Rozali, Amli Omar Bin Ismail, Sherry Ameera Binti Mustaffa @ Sulaiman +1
This study proposes 'Green by Design', a socio-technical framework integrating carbon accounting into enterprise architecture to address Scope 3 emissions from digital transformation. Using design science research and thematic analysis, it …
Peer-reviewedCNJournalComplexity2026#AI × ESGDOI
Equity Pledge and Corporate Green Transformation: Nonlinear Regime Transitions and Threshold Dynamics in a Financial–Environmental System
Enmin Zhang, Jianmin Wang, Juanjuan Chen +1
Using a panel of Chinese A-share firms, this study finds an inverted U-shaped relationship between controlling shareholders' equity pledge and corporate green transformation. Initially, equity pledge eases liquidity constraints and promotes…
Peer-reviewedJournalFMDB Transactions on Sustainable Environmental Sciences2026#AI × ESGDOI
VayuCredit: A Data-Driven and Machine Learning Framework for Carbon Emission Monitoring and Credit Quantification Using Ensemble Learning
Dharni Patel, Urvi Deore, Y. A. Vishwa Priya +3
VayuCredit is a machine learning framework for carbon emission monitoring and credit quantification, tailored to India's upcoming Carbon Credit Trading Scheme (CCTS). It uses three models—trend prediction, anomaly detection, and regression—…
Journal2026#AI × ESGDOI
Peer Review Report For: Sustainable Digital Business Ecosystems: Linking ESG Accounting, Data Analytics, and Value Creation Using Machine Learning Approaches [version 1; peer review: 2 not approved]
Lintang Kurniawati, Nur Kholis, Katarina Yunita Riti +1
This study uses machine learning (Random Forest, XGBoost) to analyze relationships among ESG accounting, data analytics capability, and sustainable value creation. XGBoost achieved highest accuracy (R²=0.87), showing ESG accounting influenc…