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 201–220 of 1487 papers
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…
V. Vairagade
This paper presents an AI-assisted, data-driven approach for designing cement-based hybrid materials and forecasting their lifecycle performance to enhance environmental sustainability. While specific findings are not available, the work li…
N. Subhan, Nouman Ali, H. Hanif
This study analyzes contagion effects of green (Cardano, Stellar) and non-green (Bitcoin, Monero) emerging cryptocurrencies on energy markets (WTI, Brent, Natural Gas) using Quantile VAR and quantile connectedness frameworks. Using daily da…
Mingyang You, Xiaohui He, Xinyu Pu +2
Using panel data from 286 Chinese cities (2011-2021), this study examines the spatial spillover effects of AI technology innovation (AITI) on carbon inequality. Findings show AITI significantly reduces carbon inequality and has spatial spil…
Zilin Wang, Meili Feng, M. Johnson +6
Using machine learning models trained on published datasets, this study projects greenhouse gas emissions from hydropower reservoirs under climate change. Under a net-zero scenario, total emissions from installed and planned projects could …
Gautam Shivaraj
This chapter explores the role of AI in enhancing resource efficiency and reducing carbon emissions, covering applications such as energy optimization, waste reduction, and resource management. Through case studies in manufacturing, agricul…
Dandan Song, Q. Truong, Ha-Oanh Vu +2
Using U.S. firm data from 2002-2023, this paper examines the causal impact of climate risk on corporate financial constraints, combining text-based climate risk measures with carbon intensity. Transition risks significantly tighten financin…
Jiwei Song, Yang Bin Huang, Lianmei Zhu
Using panel data of Chinese A-share listed firms from 2013 to 2024, this paper finds a significant negative association between the disclosure-implementation mismatch in digital transformation and corporate ESG ratings. The mismatch proxy c…
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