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 881–900 of 4132 papers
Carles Vergara-Alert, Alex Melendez-Ramos
This study exploits the June 2022 methodology revision for non-domestic EPCs in England and Wales as a natural experiment, showing that grid decarbonisation can improve carbon-weighted ratings without building improvements. 80.5% of reasses…
Samuel Stephenson, Jonathan Cullen, Andre Cabrera Serrenho
Coupling GCAM with a stock-flow model, this study estimates demand for six critical minerals across five SSPs. Paris-aligned futures raise demand 150-250% above baseline by 2050, while sustainability pathways cut it 24-37%. Inequality and f…
Kosi U.
This paper investigates the readiness of firms for the EU's Corporate Sustainability Reporting Directive (CSRD). It analyzes the complexity of disclosure requirements and data collection challenges, assessing the degree of corporate prepare…
Yating Zhang, Dustin T. Cook, S. Sattar +3
This paper proposes a hybrid method combining unit process analysis and economic input-output analysis to quantify embodied carbon emissions from post-earthquake building repair and functional loss. It accounts for repair materials, transpo…
Sohidul Islam, Reday Chandra Bhowmik, H. G. Sulimany +3
Using quantile-on-quantile regression on G7 data (1995-2023), this study finds green finance consistently reduces ecological footprint, while green innovation and recycling show positive effects in most quantiles, and energy transition has …
Annisa Fithria, R. Ainy, Andreas Vernando +2
Using panel data of 576 banks across 62 countries from 2009-2023, this study finds that IFRS adoption is positively associated with ESG disclosure, especially for environmental and social components. Major events like the Paris Agreement an…
Tong Ni, Wanlong Huang, Yifei Tang +2
This paper addresses low liquidity and fiscal policy mismatches in Green Electricity Certificate (GEC) markets by developing a supply-demand model integrating tax credits and tiered carbon taxes. Using an ε-constraint multi-objective optimi…
Yutong Shen, Wang Yang, Yue Shen
CogDeBias is a multilingual framework integrating LLMs and ML to automatically detect and mitigate six cognitive biases (e.g., confirmation bias, sunk cost fallacy) in corporate annual reports. A bilingual corpus of 1,200 reports (600 Engli…
Elisa Di Febo, Eliana Angelini
This paper proposes a macro-level Climate Resilience Score (CRS) for integrating climate vulnerability into bank credit risk assessment. It combines physical risk, energy efficiency, emission intensity, and circular economy indicators using…
Massoud Amin
Analyzing the 2022 European energy crisis, this chapter explores the energy transition's complexities, focusing on the 'energy trilemma' of security, sustainability, and affordability. It reviews renewable and emerging technologies and prop…
Mehreen Gul, David Jenkins, Dulini Fernando +4
This paper presents an interdisciplinary study to advance biochar use in buildings for decarbonization. Integrating social science, civil engineering, and building modeling, it evaluates biochar-cementitious composites and their energy/carb…
Mona Moussawel, Jessica Few, Valentin Moreau +5
This study compares residential electricity demand patterns using high-resolution smart meter data from Great Britain and France. Analyzing load curves by building type and heating technology, it reveals how cultural habits, heating systems…
Adnan Aijaz, Xinyi Lin
This paper introduces packetized energy management (PEM) to transform 6G infrastructure into grid-interactive, energy-aware assets. PEM schedules flexible demand as energy packets, improving renewable utilization, peak-aware operation, and …
Thorben Sandmeier
This thesis develops a large-scale AC-OPF framework for congestion management in renewable-dominated power systems. Case studies on German and European grids (2025-2050) show that HVDC corridors and FACTS devices can reduce redispatch costs…
Aleksander Jakimowicz
This paper presents a systemic analysis of the global energy transition, framing it as the central driver of the modern polycrisis. It argues that current decarbonization strategies, lacking a holistic view, trigger nonlinear amplifying fee…
Frank W. Geels
This paper explains China's dominance in clean-tech (solar, wind, EVs, batteries) by combining socio-technical transition and political economy theories. It argues that EU/US institutions gave incumbents policy access, weakening policies, w…
Antans Sauhats, Diāna Žalostība, Roman Petrichenko +4
This paper proposes an AI-based surrogate modeling framework using artificial neural networks (ANNs) to accelerate long-term power system transition planning. By combining stochastic scenario generation with detailed simulations and ANN sur…
Võsa, Karl-Villem, Simson, Raimo, Mikola, Alo +1
A statistical treatment of the European Heat Pump KEYMARK certification corpus yields population-level COP models for air-to-water heat pumps, validated against EN 14825 SCOP, with Estonian climate data and conversion code for dynamic build…
Charousset-Brignol, Sandrine, Marie-Ann Evans Calmels, Arvesen, Anders +16
This report evaluates the National Energy and Climate Plans (NECPs) of EU member states, aiming to improve and coordinate European energy system modeling. It analyzes the NECPs of Spain, Norway, Sweden, Germany, Turkey, Greece, France, Port…
Kondratenko, Aleksander, Yeh, Sonia, Libertson, Frans +2
This report presents a mathematical toolkit for simulating grid impacts of port electrification and proposes standardized evaluation methodologies. It develops a three-phase typology of port electrification, frameworks for optimal charger p…
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