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 8361–8380 of 33696 papers
再生可能エネルギー利用の長期展望
(著者不明)
This paper presents a long-term outlook for renewable energy utilization, outlining the direction of energy transition, though specific data and analysis are not provided.
欧州における再生可能エネルギー政策の展開
(著者不明)
This paper provides an overview of renewable energy policy development in Europe, analyzing policy transitions and country-level initiatives, and discussing future challenges and prospects.
再生可能エネルギーの導入拡大を支える，電力安定化手法の実証試験
(著者不明)
This paper reports a demonstration test of power stabilization methods to support the expansion of renewable energy. While specific methods and results are unclear, it likely provides technical insights into grid stability, a key challenge …
わが国の食品ロス発生による温室効果ガス排出，天然資源の浪費および経済損失の評価
(著者不明)
This paper quantitatively evaluates greenhouse gas emissions, natural resource waste, and economic losses associated with food loss in Japan. It demonstrates that reducing food loss contributes to climate change mitigation and resource effi…
I-37 住宅の断熱強化による温室効果ガス削減に関する研究(その7) : 既存住宅の断熱改修による日本全国の温室効果ガス削減効果
(著者不明)
This study evaluates the nationwide greenhouse gas (GHG) reduction potential of retrofitting existing residential buildings with improved insulation in Japan. It quantifies energy savings and associated emission reductions, providing eviden…
カーボンニュートラル社会実現に向けた合成燃料技術開発
(著者不明)
This paper focuses on the development of synthetic fuel technologies toward a carbon-neutral society. Synthetic fuels can leverage existing infrastructure and contribute to decarbonizing the transport sector. It likely discusses technical c…
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…
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