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 6441–6460 of 27858 papers
Ranjith Kumar Modi, NAVEEN SIRIMAN
This paper argues that the US's second withdrawal from the Paris Agreement under 'America First' does not substantially slow global decarbonization but accelerates a shift in the center of gravity of international climate governance, creati…
Aishwarya Machani
As the EU implements 2040 climate goals, public legitimacy is crucial. Climate assemblies in Estonia and Poland achieved conceptual impacts like shifting thinking on energy poverty but lacked direct policy influence. To build lasting suppor…
Fidela Dzatadini Wahyudi, Si Yusuf Al Hafiz, Muhamad Irwan +1
This study empirically shows that renewable energy progress in ASEAN does not necessarily translate into environmental improvement or gender equality, using 2016-2023 data. Malaysia shows relatively aligned trajectories, while Cambodia, Ind…
Patrick Stuhm, Dirk Scheer
This paper proposes an 'acceptance milieu' framework for analyzing social acceptance of renewable energy facilities, emphasizing the role of shared community values. It extends existing acceptance research by focusing on the social context …
Omotayo Emmanuel Ojewumi, Gang Chen, M. E. Ojewumi
This review examines biochar's role in sustainable agriculture and carbon sequestration, highlighting benefits like soil improvement and contaminant remediation while identifying risks such as PAH formation and heavy metal contamination. It…
Şenyılmaz Doç. Dr. Dilek
This paper argues that climate change has shifted from environmental policy to a central issue of constitutional, administrative, and human rights law. Drawing on recent international climate jurisprudence, it analyzes how states are increa…
Matshela Koko
This resource provides Python scripts generating Figures 3 and 4 for a paper on South Africa's coal phase-out (SSRN 5794522). Figure 3 presents a four-panel CII sensitivity analysis; Figure 4 places the transition in Vinichenko et al.'s his…
Sogut MZ, Kilikevičius A
This study optimizes multiple heat demands in a textile enterprise, showing that improving cogeneration efficiency by about 17% can reduce fossil fuel consumption by approximately 76%. A holistic thermal management model was developed to en…
小田原市における脱炭素・地域循環共生圏の構築に向けた取り組み
(著者不明)
This paper introduces Odawara City's efforts to build a decarbonized and regional circular sphere. It presents a local government-led model for promoting green transformation through renewable energy adoption and regional resource circulati…
再生可能エネルギーの意義と展望
(著者不明)
This document provides an overview of the significance and future prospects of renewable energy. Specific data or analysis is unclear, but it likely discusses the importance of energy transition.
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.
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 …
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…
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…
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…
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