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 20921–20940 of 36021 papers
Majd Olleik, Haytham M. Dbouk, Anne Neumann +2
This paper analyzes household coping mechanisms under chronic grid failure in Lebanon, using survey data from 1,000 households. It finds a shift from diesel generators to solar PV-battery systems among wealthier households, along with deman…
Sirui Li, Xiangdong Liu, Xiangdong Liu +4
Using panel data from 39 economies (2018-2024), this study examines the relationship between digital infrastructure energy efficiency (PUE) and carbon intensity. It finds a rebound effect where PUE reductions are associated with higher carb…
Vasiliki Karageorgou
This study maps priority areas for biodiversity protection in eight regional cities of Slovakia by analyzing their strategic development documents. It examines multi-level governance, highlighting how local priorities align with national an…
Ronald C. Estoque
Tropical forest loss (TFL) before and after 2015 is assessed. Despite a downward trend from 2016-2022, average annual TFL was 34% higher than 2011-2015, and increased by 71% within protected areas. Current efforts insufficient to meet susta…
Sini Savilaakso, Shareen Sanders, Emma Welsh +8
This review comprehensively examines the evidence on agroforestry's impact on both biodiversity and climate change mitigation and adaptation, filling a gap in the literature. Analyzing 258 studies, it finds a strong focus on soil biota and …
Abdul Rauf Agbor Seidu
This paper applies sentiment analysis to model public perceptions of energy insecurity and renewable adoption in Ghana's green energy transition. Using machine learning, it extracts sentiment from social media and survey data, offering insi…
Rok Mazej
This thesis examines the impact of carbon price shocks on European firms' stock returns using event study methodology and machine learning. It finds a slight decline in abnormal returns for carbon-intensive firms and an increase for renewab…
Maryam A. Borojerdi, Mohsen Yahyaei, Shabbir Ahmad +1
This study developed a PESTLE-based framework (political, economic, social, technological, legal, environmental) with 39 sub-factors to evaluate drivers of Australia's renewable energy transition. Using Q methodology and semi-structured int…
Falmata Usman Charangi, Mala M. Daura, Mohammed Bukar Ngamdu +1
This review assesses the viability of pearl millet by-products as household cooking fuel in Yobe State, Nigeria. With calorific values of 13-18 MJ/kg, densified briquettes can replace firewood and charcoal, reducing deforestation and GHG em…
Kivi. Iman R., Gao, Xiaowei, Krevor, Sam
This study develops a modeling framework coupling techno-economic growth and geophysical limits to assess feasible CO2 storage scaleup trajectories. Applied to the UK, it finds that offshore storage can meet government targets up to 175 Mt/…
Shubham Ghanekar, Mandar Chavan, Sujal Natekar +1
This paper proposes a system that harvests mechanical energy from vehicle movement using piezoelectric sensors embedded in roads, converts it to electricity, stores it, and uses it for wireless EV charging via inductive coupling. The system…
Nirbhay Benere, Omkar Gurav, Piyush Jagade +2
This paper presents the design and implementation of a hybrid renewable energy system combining solar and wind energy for sustainable power generation. By integrating photovoltaic panels and wind turbines with battery storage, the system en…
Cabana Jimánez, Katherine, Sousa Santos, Vladimir, Cancelo Ferreira, Jonh +2
This paper proposes an integrated predictive economic dispatch strategy for grid-connected microgrids using Optimal Power Flow (OPF). It compares hybrid and renewable-only configurations across three load scenarios. The hybrid configuration…
Vourdoubas, John
This study conducts a SWOT analysis of floating solar photovoltaic (FPV) systems in Greece, which currently has no FPV installations despite abundant solar resources. It identifies strengths, weaknesses, opportunities, and threats for FPV d…
DEL RIO, PABLO, Oviedo, Jose L., Kiefer, Christoph P.
This dataset enables replication of a systematic literature review on social acceptance of CCUS. It categorizes drivers and barriers from survey-based studies, supporting further analysis and evidence-based policy.
SPYRIDAKOS, Stavros, BOEMI, Sofia-Natalia, TZIKA, Elpida +10
This paper compares nine EU-funded projects on Positive Energy Districts (PEDs), focusing on citizen engagement and inclusive governance. It identifies five cross-cutting themes for co-creation, arguing that energy transition is a societal …
AUSTRALO
The 4th DIGITISE newsletter reports on recent project milestones including plenary and review meetings, progress in AI, digital twins, data spaces, and citizen engagement tools for the energy transition.
Buckley, Ian R. C.
This paper applies cohomological complexity theory to collective action problems and mechanism design, focusing on carbon pricing. It classifies the tragedy of the commons as an H1 obstruction and the tragedy of the horizon (Carney, 2015) a…
Ashuraliyev, Abduxoliq
This dataset provides daily census-level records of cargo/tanker dwell times at five major US ports from 2009-2025, derived from terrestrial AIS data. It includes monthly port dwell metrics, per-vessel operational-mode hours, and a CARB-cal…
Kaufmann, Kyril, Tsaousoglou, Georgios
This paper investigates how network constraints shape the cost-emissions trade-off in power systems. Using Pareto frontier analysis, it shows that copper-plate assumptions produce misleading fronts, while network-aware modeling reveals satu…
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