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 17501–17520 of 20002 papers
Magdalena Janyszek-Sołtysiak, Leszek Majchrzak, Maciej Krzysztof Murawski +2
This study evaluated the energy potential of aboveground biomass from eight sedge species collected in Poland. Chemical composition and calorific values were analyzed, revealing significant interspecific variation. Most species showed favor…
Marianna Basoulou, Panagiotis G. Kosmopoulos
This study quantifies the potential of green hydrogen production from curtailed renewable electricity in four Greek regions. Scenarios compare pressurized tank, underground storage, and hybrid configurations. Results show Peloponnese has hi…
Dileep Kumar Pandey, Souvik Ghosh, Usha Das +2
This study analyzes clean energy adoption in rural India using village-level survey aggregates across states. It reveals regional variations and examines drivers and barriers of energy transition, offering insights for renewable energy poli…
Augustine Okeke
This study develops and validates the Resource Regeneration Coordination Index (RRCI) and the Multi-Actor Resource Regeneration Systems Framework (MARSF) for assessing how multi-actor coordination shapes regenerative outcomes in Nigeria's e…
Md. Abdullah Al Mamun Hridoy, Chiara Bordin, Andleeb Masood +7
This paper presents a transdisciplinary framework for advancing the energy transition by integrating insights from marine science, blue economy, energy analytics, and sustainability education. It explores synergistic policy and practice dir…
Federica Dei, Gaia Brussa, Stefano Puricelli +2
This study forecasts waste generation from key energy transition technologies, such as solar panels and wind turbines, in Italy. It quantifies future waste volumes and examines implications for recycling and disposal. The findings can infor…
Nazife Özge Beşer
This study analyzes the impact of renewable energy consumption and energy intensity on CO2 emissions in 24 African countries from 1990-2021. Results show renewable energy reduces emissions, while energy intensity increases them. The finding…
Ernesto T.O Samuel, Tom Wanjekeche, Andreas Ndapuka +2
This paper optimizes renewable energy resources for green hydrogen production in Lüderitz, Namibia. It analyzes combinations of wind and solar power and economic feasibility, demonstrating potential for efficient hydrogen production.
Juan Nicolas Gonzalez, Ibrahem Shatnawi
This paper synthesizes expert insights on congestion pricing as a tool for urban energy transition, analyzing implementation challenges and energy trade-offs. It discusses practical barriers and policy implications.
Ebrahim Merza, Ilhan Ozturk
This paper analyzes the role of fiscal balance in driving low-carbon energy transition, focusing on nuclear and hydrogen energy. It suggests that government fiscal position can influence the deployment of these technologies.
Farid Ullah, Qianjin Lu, Chen Jie +2
This paper examines how geopolitical risk and energy transition interact to affect energy poverty. It explores the impact of policy uncertainty on low-income households' energy access, emphasizing the need for sustainable energy policies.
Liming Xiao, Junyan Jia, Qian Lei +1
This paper empirically analyzes the impact of China's new energy demonstration city policy on urban green technological innovation. It examines how the policy drives energy transition and spurs innovation. Findings suggest that the policy s…
Vladimir Z. Gjorgievski, Natasa Markovska, Benedetto Nastasi +3
This paper explores system integration solutions for enabling energy transitions across urban, industrial, and renewable sectors. It provides insights into technical and systemic approaches, focusing on the coordination and optimization of …
Horace O'Gilvie, M.G. Rasul, N.K. Mandal +2
This review assesses the potential of renewable methanol to decarbonize the Gladstone industrial hub in Australia. It covers production technologies, resource availability, and integration with existing industries, highlighting methanol's r…
Preeti Prajapati, Ru Guo, Angzu Cai +1
This paper examines the current state and challenges of energy transition in India, exploring opportunities towards sustainable energy goals. It reviews barriers to renewable energy adoption and policy effectiveness, outlining future direct…
Pinky Thomas, Alan R. Collins
This paper analyzes how economic development and infrastructure impact the energy transition. It examines whether development facilitates or hinders renewable energy adoption and carbon reduction, offering policy implications.
Veronica Mammetti, Stavros A. Zenios, Giacomo Morelli
This paper analyzes the impact of energy transition on sovereign debt sustainability, examining how climate policies may increase fiscal risks while green investments could boost economic growth.
Muhammad Bahar Khan, Syed Afzal Moshadi Shah, Imran Naseem +3
This study examines Pakistan's renewable energy transition through international partnerships like CPEC and policy implementation. Using content analysis of government reports and treaties, it finds that global cooperation and SDG-aligned p…
Tharindu Dissanayake, Luminda Gunawardhana, Chintha Jayasinghe +2
This study critically examines how Gender Equality and Social Inclusion (GESI) and Energy Justice (EJ) principles are integrated into national energy policies of South Asian and African countries. Using thematic literature review and semi-q…
Ishmael Jesse Narh Adikorley, Eunice Abena Lettu
This study explores AI and machine learning techniques for forecasting renewable energy generation and integrating it into smart grids. By combining traditional time-series methods with ML, forecasting accuracy improves, enabling higher rel…
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