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.
Showing 141–160 of 2847 papers
Franco A
This paper proposes an integrated framework for transforming ports into energy hubs, integrating renewable generation, storage, green hydrogen, microgrids, and intelligent management. Using data-driven analysis and optimization, it supports…
Sharif M, Seker H
This paper proposes Agentic CAMA-DRL, a context-aware multi-agent deep reinforcement learning framework for optimizing charging infrastructure of last-mile delivery e-bikes. Four stakeholder agents coordinate via DQNs conditioned on real-ti…
Vrcelj Z, Sandanayake MS
This paper addresses the gap between AI technical performance and actual project decision changes in construction. Through a structured review of 34 studies, it proposes a Governed AI Project Controls Framework that separates data foundatio…
Toan PN, Hieu LTT, Nguyen NVT
This paper tests whether carbon pricing causes carbon leakage using crypto-mining, an electricity-intensive and footloose industry. Quantile regressions on daily data (2019-2026) show that in Russia, the interaction of Bitcoin returns and E…
Prina, Matteo Giacomo
This dataset provides normalized hourly wind power generation profiles for five European regions, generated using MERRA-2 and Renewables.ninja. It supports energy system modeling and regional planning.
Brown, Patrick, Carag, Vincent, Chen, Yunzhi +19
ReEDS is a capacity planning model for the power sector that simulates the evolution of generation and transmission from present to 2050 and beyond. It is used for scenario analysis of renewable deployment and grid expansion, supporting ene…
Marques Alves Aguiar, Gabriela
This replication package provides data and code for a fixed-effects panel analysis of OECD countries (2015-2023), examining whether stronger carbon-pricing signals are associated with lower per-capita GHG emissions. It offers reproducible e…
Bérard, Cedric
This snapshot demonstrates that NAM-classification-filtered portfolio allocation outperforms five naive baselines in expected avoided-loss NPV for climate adaptation of 725,462 substations across 39 OECD countries. At the reference cell, al…
Ashuraliyev, Abduxoliq
This dataset provides vessel-level dwell times, operational modes, and CARB-calibrated idling emissions for five major US ports from 2009-2025, derived from AIS data. It enables analysis of port congestion and its climate impact, validated …
Jianxun Zhao, Mingxuan Huang, Changqing Tian +1
This study optimizes GHG emissions in vegetable handling processes using Deep Deterministic Policy Gradient (DDPG). Sensitivity analysis identifies key parameters, and a Markov decision process model with multi-objective reward design minim…
Bao-Linh Tran, Yun-Ju Huang, Wei-Chun Tseng +1
Using panel data from 74 countries (2010-2022), this study compares the emission reduction effects of carbon tax (CT) and emissions trading (ETS). When using coverage-adjusted carbon prices, both are equally effective, but with nominal pric…
Shu Zhang, Wenying Chen
This study develops a probabilistic framework integrating bottom-up models of China's water-energy-food (WEF) systems with Monte Carlo simulations to assess the impacts of the net-zero energy transition. Exploring over 4,000 uncertainty cas…
Siavash Alimadadi, Jonatan Pinkse
This viewpoint introduces 'carbon subsumption,' where sustainability governance privileges carbon as the dominant metric, making biodiversity visible only when convertible to carbon. It identifies three mechanisms: assimilation, subordinati…
Adam R. Mason, Tom Bide, Rupert J. Myers +1
This study combines Bayesian material flow analysis and life cycle assessment to evaluate decarbonisation pathways for England's cement and concrete sector. It quantitatively reveals trade-offs between decarbonisation measures such as CCUS …
George Halkos, Panagiotis-Stavros Aslanidis
This review systematically synthesizes optimization, machine learning, and spatiotemporal analysis methods for decarbonizing energy systems. Analyzing 82 papers (2001-2024), it identifies four research strands: multiobjective optimization, …
Juan Manuel Campos-Rodríguez, Laura Bartolomé-Quevedo, David Vega-Maza +3
This paper analyzes the decarbonization potential and limits of e-fuel policies in the EU. It evaluates production costs, supply constraints, and policy effectiveness, critically examining the role of e-fuels in transport decarbonization. O…
Fan J.L.
This study evaluates CCUS retrofits to different thermal power plants in China using a real options approach, comparing cost-benefit under uncertainty. It provides insights for investment timing and policy decisions.
Mulyasari F.
This paper analyzes the impact of public engagement strategies on public acceptance and social license to operate (SLO) using the Gundih pilot CCS project in Indonesia as a case study. It demonstrates that community engagement is crucial fo…
Ni Q.
This paper addresses optimal dispatch of an integrated energy system combining CCUS with power-to-gas (P2G) and hydrogen-doped gas equipment under a ladder-type carbon trading mechanism. It proposes an optimization model balancing carbon re…
Ali F.
This paper examines the strategic role of FinTech in advancing green finance among financial institutions in OECD countries. It argues that FinTech can enhance environmental disclosure and efficient capital allocation, thereby promoting dec…
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