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 121–140 of 1414 papers
Sohail M.
This paper empirically examines how AI adoption affects ESG performance in the German banking sector, focusing on the mediating role of green finance. It suggests that AI can enhance banks' ESG assessments and promote green lending.
Xuelong Zhang, Xiaoling He, Mei Li +3
Using panel data of Chinese listed energy firms (2010-2023), this study shows AI adoption significantly reduces carbon emission intensity. Executive digital background strengthens the effect, and low-carbon city pilots provide complementary…
Alfa Yohannis, Alexander Waworuntu
This paper compares the carbon footprint of document-oriented, relational, and hybrid object-relational databases for image-based time-series workloads in Green IoT, proposing a carbon-aware storage selection method. It leverages AI/ML tech…
Saad Khan, Ahmed A. Aboushady, Firdous Nazir +1
This study proposes a privacy-preserving framework to detect, classify, and localize unregistered behind-the-meter low-carbon technologies (PV, EVs, heat pumps) in low-voltage networks. Using GDPR-compliant measurements, it combines LSTM au…
Aurélien Saussay, Misato Sato, Francesco Vona
Using U.S. online job vacancy data, this paper develops a skill-based NLP method to identify low-carbon jobs within occupations. Low-carbon job creation is prevalent in low-skilled occupations but requires more complex skills, yielding a mo…
Issam Benhayoun
This study analyzes factors determining ISSB adoption intention among 335 Moroccan accounting professionals. It demonstrates that institutional pressures influence adoption intention only through perceived usefulness and ease of use. Using …
Kishore Kumar, Susela Devi Suppiah, Preeti Bhaskar +1
This paper examines policy architectures for governing AI to facilitate circular economy transitions, focusing on challenges and opportunities in emerging economies. It discusses how AI technologies can support circular economy principles a…
João Oliveira, Tiago Santos, Fernanda Brito Correia +3
This study proposes a Digital Twin-inspired simulation framework to support renewable energy community (REC) planning. It integrates high-resolution smart-meter data, demographic filtering, and an AI-based N-HiTS forecasting model, applied …
Shan Wang, Yanze Wang, Yue Gao +1
This paper empirically analyzes the effect of 'AI-washing'—corporate overstatement of AI capabilities—on actual energy transition efforts. It proposes methods to detect discrepancies between AI claims and real green actions, assessing the c…
Qi Chen
This paper proposes RADR-MO, a dynamic re-routing framework for supply chain resilience that jointly optimizes cost, resilience, and carbon emissions using graph attention networks and meta-reinforcement learning. It adapts to novel disrupt…
Shangjie Liu, Agyemang Kwasi Sampene, Hazrat Hassan
This study analyzes nonlinear effects of digital technologies, clean energy transition, and industrial upgrading on climate change in five major robot-adopting economies (China, Japan, Germany, US, South Korea) using a multilayer neural net…
Radosveta Krasteva-Hristova
This study analyzes how the UK Big Four audit firms disclose safeguards for human oversight and accountability in AI-assisted work within their 2024 transparency reports. Developing an AI-Judgment Governance Disclosure Index (AI-JGDI) acros…
Manoj D. S, Sankari M, Aruneswar Meera S +1
Greenscan-AICO2R is a framework for evaluating and optimizing website carbon emissions. It performs multi-page crawling, rule-based image classification, and NLP-driven tailored recommendations. Simulations show 30-40% emission reduction vi…
Shiju Li, Hongjie Lan, Hanying Jiang +5
This paper proposes a CEEMDAN-SE-Transformer model to improve carbon price forecasting accuracy. Using data from China's Guangdong carbon market (2015-2022) and incorporating factors like oil prices and EU carbon prices, the model outperfor…
Summaiya Unnisa Begum, Mohammed Nadeem Ullah, Mohammed Abdul Ghani Khan
Carbon price forecasting is hard; existing work clusters on EU/China, compresses policy text into sentiment, and lacks calibration or explanation stability. This paper distills ten gaps into an impact-feasibility matrix and proposes EPA-Car…
Huanbei Zhao, Changhong Yu, Guobin Fu +3
This paper proposes a multi-stage low-carbon planning method for data center clusters that coordinates construction sequencing and load growth to avoid redundant early investment while ensuring supply reliability. It integrates a tiered car…
Abdulrahman H. Ba-Alawi, Abdo Abdullah Ahmed Gassar
This review examines AI's role in enabling net-zero buildings (NZBs) through HVAC efficiency, renewable integration, and intelligent control. AI techniques, especially reinforcement learning and digital twins, improve energy forecasting (R2…
Abbas N, Hao L, Ayoubi M
This study proposes a secure control framework using a reliability-gated GRU to detect and correct false data injection (FDI) attacks on floating offshore wind turbines (FOWT). The method evaluates sensor prediction reliability and compensa…
Athira K.
This paper proposes an AI-based method to predict green bond performance, contributing to climate finance and ESG evaluation. Details are limited due to missing abstract, but it represents a key intersection of AI and sustainable finance.
Adelina Zeqiri
This paper proposes a conceptual framework linking AI-driven marketing to sustainable tourism outcomes, mapping four pathways: smart operations, environmental intelligence, demand shaping, and governance. It advances eight testable proposit…
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