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 12321–12340 of 20378 papers
Dr.Anoopkumar Shukla, Meysam Khatibi, Caterina Valeo +1
This study evaluates dynamic insulation (DI) in residential buildings across four Canadian climate zones. Using a two-step control strategy, DI reduces annual source energy by up to 39% in mild climates (Vancouver) and 10-28% in colder regi…
Nicola Del Sarto
This paper shows that sovereign credit ratings do not uniformly price carbon transition risk. Using 145 countries from 2002-2024, it finds that rating agencies penalize CO2 emissions only in countries with strong institutional quality; in w…
Damian Chibuikem Abraham
This paper analyzes the impact of decarbonization, geopolitical shocks, and digitalization on energy supply chains, redefining efficiency as a strategic capability balancing carbon, resilience, and equity. It identifies four challenges: dec…
Human Sciences Research Council
This policy brief analyzes South Africa's climate policy challenges and proposes four key approaches: enhancing intergovernmental coordination, utilizing digital technologies like AI for climate planning, formally integrating indigenous kno…
Su‐Jung Nam, Hyesun Hwang, Xu Li
This study examines income and household-type differences in food-related carbon emissions behaviors among South Korean households, focusing on beef and grain consumption and food waste. Higher-income households consume more carbon-intensiv…
Human Sciences Research Council
South Africa's renewable energy independent power producers (REIPPs) largely depend on foreign manufacturers and resources, contradicting just transition principles that encourage local job creation. This article examines how REIPPs can shi…
Mónica López, Daniel Hidalgo
This study evaluates BEV and HEV deployment scenarios for Ecuador's light-duty transport sector using OSeMOSYS. The ENEM scenario achieves 12.14% cumulative energy demand reduction vs. BAU and contributes 15% to the NDC conditional target. …
Fernando Pacheco Torgal
This paper analyzes barriers to mainstream adoption of bio-based construction materials in the EU, categorizing them into structural, economic, technical, and enabling levels. It finds institutional and economic barriers dominate over techn…
Mamon Adam Maarof
This study analyzes the relationship between renewable energy consumption and economic growth in India (2004-2024) using ARDL. It finds a negative long-run impact of renewables on growth, likely due to transition costs, but emphasizes CO2 r…
GALVEZ PRP
This systematic review covers CCUS technology of accelerated carbonation with supercritical CO₂ during concrete mixing. It reports CO₂ uptakes of 15-50 kg/m³, compressive strength increases of 12-30%, and carbon footprint reductions of 15-4…
NOUNANGNONHOU CT, DIDAVI KBA, AZA-GNANDJI MR
This paper proposes a hybrid deep learning model (B6) combining CEEMDAN-VMD dual decomposition with a GRU-attention backbone for wind power forecasting. Evaluated on seven wind farms, it reduces MAE and RMSE by 25-35% over baselines for 1h,…
Toyoshima T, Takaguchi H
This study simulates the potential of EV-based demand response in the Tokyo Station Front District, projecting building stock and electricity demand to 2050. Results show that bidirectional V2B/V2G charging can reduce annual energy costs by…
Maataoui, Wijdane El, Abounada, Abdelouahed
This paper proposes replacing the classical virtual synchronous generator (VSG) control with a deep neural network (DNN) for wind power systems. The DNN is trained end-to-end using supervised learning to generate inverter control signals fr…
Somasundaram, Deepa, Krishnamoorthy, N., Anand, J. Vijay +3
This paper proposes an AI-driven framework for EV charging station placement integrating LSTM-based spatiotemporal demand forecasting, GA-PSO multi-objective optimization, and deep reinforcement learning for adaptive resilience. Evaluation …
Zathey, Maciej, Malczewski, Przemysław
This paper analyzes the coherence of regional energy transition policies within EU strategic frameworks (European Green Deal, Fit for 55, RED III). Focusing on the tri-border region of Czechia, Germany, and Poland (Liberec, Saxony, Lower Si…
Ataxanov Umidbek Olimovich
This paper compares green bonds and sustainability-linked loans (SLLs) for financing industrial decarbonization, using 2024-2026 market data, BIS study, and academic research. Green bonds reduce Scope 1 emissions by 21% within one year, whi…
Arshad Ali, Gohar Ali
This study analyzes the impact of environmental taxes and environmental policy stringency on CO2 emissions across 32 OECD countries from 2000 to 2022 using panel data. Results show that a 1% increase in environmental taxes reduces CO2 emiss…
Jiyun Zhang, LeiLiang Wan, Qingbing Li +2
This paper provides the first systematic review of V2G technology to transform electric Ground Service Equipment (e-GSE) at airports from 'charging loads' into 'dispatchable energy storage resources.' It examines the core technical framewor…
Q. Chen
Analyzes how geopolitical tensions between the U.S. and China impact energy transitions in third countries, focusing on supply chain shifts and investment patterns, offering policy insights.
Amogh Ghimire, Sajjad Ali, Kishwar Ali
Using panel data from ASEAN+6 countries, this study examines the relationship between energy transition and environmental efficiency. Fossil fuels negatively impact environmental efficiency, while renewables and globalization improve it. Gl…
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