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 7101–7120 of 32430 papers
Newton. Tyler James
AquaContam uses over 4 million samples from 95,223 U.S. water systems to show that ML models learn monitoring processes as much as contamination. Apparent lead-model performance is largely a target-leakage artifact, and monitoring is inequi…
Rupture, Signal
This paper applies the SignalRupture structural grammar to electricity systems, analyzing the race between rising demand (especially from AI data centers) and supply capacity. Based on NERC forecasts, it projects over 224 GW of additional p…
Dr. V. SRIDEVI, STEPHY ANGELIN J, Dr. SANJAY L. KURKUTE +1
This book comprehensively explores AI applications for smart, efficient, and sustainable energy systems. It covers machine learning for demand forecasting, optimization, renewable integration, smart grids, IoT monitoring, predictive mainten…
Hanto, Jonathan, Diesing, Alena, Löffler, Konstantin
This dataset supports multi-objective optimization of cost and social acceptance in Germany's energy transition. It includes regional cost and public acceptance data for renewable energy deployment, useful for policy-making and regional pla…
Alcolea, Andrés, Meier, Peter
The VESTA-CH project addresses long-term performance degradation in high-temperature thermal energy storage (HTS) systems by investigating coupled thermo-hydro-chemical processes. It combines numerical modeling with experiments and field ob…
Aiken, Richard
This paper provides a complete computational pipeline and outputs for optimizing acoustic measurements of CO₂ mixtures relevant to CCS metering. It includes D-optimal designs, covariances, and reproducible scripts, supporting accurate flow …
fumagali, junior, Gonçalves Montenegro, Rosa Livia, Arcanjo, Gabriel Arcanjo
This study examines the economic dimension of energy transition by analyzing the integration and persistence of ethanol, gasoline, and crude oil markets in Brazil using Bayesian VAR and BEKK-MGARCH models. It finds that biofuel expansion do…
Mehmetaj, Ilir
A three-part conceptual proposal applying a seawater thermal cascade (HCTGS) to US water, energy, and industrial siting challenges. Magnesium combustion and seawater steam condensation drive multi-stage production of fresh water, power, hea…
Yash Dubey, Katrin Sievert
This repository provides code accompanying a paper on the cost-effectiveness of synthetic fuels and CO2 removal (DACCS/DACCU) for net-zero aviation. It supports analysis of technology pathways and cost optimization for aviation decarbonizat…
Jiachang Yuan
Under China's Dual Carbon Goals, this study proposes a three-tier collaborative optimization framework for renewable energy supply chains, integrating blockchain-based carbon data pools, multi-objective optimization, dynamic carbon taxation…
AQUINO, JESUNINO
This dataset and code provide a streamlined life-cycle carbon screening model for Philippine grid decarbonisation. The model compares life-cycle carbon emissions of power generation technologies, aiding policy and investment decisions. It s…
EsteVeroMScThesis
This repository provides a calculation spreadsheet for building decarbonization pathways, Python code to determine the number of feasible pathways, and supplementary materials (PDF). It applies climate wedges analysis to evaluate multiple d…
Gideon Sadikiel Mmbando
This review summarizes recent findings on biochar application in rice paddies as a strategy to reduce greenhouse gas emissions, particularly methane and nitrous oxide. Biochar offers dual benefits of soil improvement and carbon sequestratio…
Jiaxing Li
This review synthesizes multiple LCA studies on bottled water's life cycle carbon emissions, identifying key hotspots such as PET resin production, bottle manufacturing, transportation, and electricity use. It evaluates reduction measures l…
N. V. Bogolyubova, A. A. Zelenchenkova
This study examines the relationship between gut microbiota, greenhouse gas emissions, and blood metabolic profiles in Dorper and Romanovskaya sheep in the Moscow region. Breed-specific interactions between bacteria and methanogens were ide…
(著者不明)
This paper compares green hydrogen and renewable energy in achieving net-zero emissions, analyzing their complementary roles and challenges in complex energy systems. It clarifies decarbonization pathways and offers implications for policy …
Yosafat Mathias Sihombing, Deni Kusumawardani
This study examines how the credibility of net-zero commitments affects decoupling of economic growth from CO₂ emissions across 27 high-emitting countries using LMDI decomposition and Tapio analysis. Economic activity and population drive e…
Rafi Herfini, Suhari Pranyoto, Eka Puspitawati
This study develops a risk-adjusted MCDA model integrating financial, financial-risk, and non-financial criteria to prioritize decarbonization projects at Indonesia's national energy company, Pertamina. Analyzing 46 initiatives, it shows th…
O.I. Dontsova, M.I. Volkhonova, I.N. Abanina +2
This study analyzes the export competitiveness and decarbonization pathways of Russia's mining and metallurgical sector under CBAM. It finds steel carbon intensity exceeds the world average by 24%, with direct carbon costs reaching EUR 139-…
Anton L.L.
This paper proposes a probabilistic deliverability assessment method for distributed energy resources (DER) using scenario-based AC optimal power flow. It enhances grid operation reliability under uncertainty and facilitates renewable energ…
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