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 661–680 of 785 papers
Tushar Bhatia, S. Srinivasan, Gaurav Dimri
This paper analyzes the evolution of the India-UAE bilateral relationship into a strategic climate partnership. Both countries cooperate on renewable energy, green hydrogen, and climate finance to achieve their NDCs under the Paris Agreemen…
F. Pacheco-Torgal
This paper reviews bio-based construction materials in the context of the EU Green Deal and Bioeconomy Strategy, covering plant-based materials, bio-admixtures, nanocellulose, and mycelium composites. It finds significant environmental bene…
Jabeen, Anoosha, Khan, Muhammad Asif, Akhtar, Hassan +1
This study analyzes determinants of renewable energy investment in Pakistan (2004-2023). Domestic private credit and market capitalization positively influence investment, while government effectiveness shows a negative relationship, sugges…
Irina Georgescu, Ayşe Meriç Yazıcı, Vildan Bayram +3
This study analyzes the impact of AI investment, green finance, government stability, and institutional quality on renewable energy consumption using panel data from 15 leading green finance countries (2014-2023) with CS-ARDL method. AI inv…
Md. Mamun, Nayeem Md. Lutful Huq, Shuvo Chandra Das +4
This review assesses renewable energy potential for Bangladesh's growing energy needs, analyzing solar, wind, hydro, biomass, geothermal, and nuclear resources. It identifies barriers like funding, land, and infrastructure, emphasizing tech…
Next Move Strategy Consulting
This report provides an overview of the solar power equipment market, highlighting growth driven by rising renewable energy demand, supportive policies, and technological advances. Adoption across residential, commercial, and utility-scale …
Jiayi Zhang
Under China's dual carbon targets and renewable energy policy, the PV industry faces financial strategy transformation. This case study of LONGi Green Energy shows that a prudent financial strategy enhances R&D investment, capital allocatio…
Dzakiyy Hadiyan Achyar
This study investigates Islamic green financing (IGF) for renewable energy in GCC countries from 2019-2023 using a fixed effects model. It finds that IGF enhances solar-based renewable technologies through energy efficiency and climate poli…
null Muhammad Adnan Afzal, null Saif Ur Rahman, null Muhammad Toseef Aslam
This bibliometric analysis of 498 green technology articles (2004-2025Q1) reveals a shift from technology-centric to systemic-transition science. China leads in output and citations but is embedded in dense international collaborations. Eco…
Wang Ying, Muhammad Ramzan, Victoria Olushola Olanrewaju +2
This study examines the impact of women in politics, democracy, and patent innovations on renewable energy adoption in the UK from 1997 to 2021 using wavelet-based quantile techniques. Results show that women in politics and patents consist…
bioenergy science
This article comprehensively reviews Life Cycle Assessment (LCA) for bioenergy systems, covering methodologies, challenges, and future directions. It discusses attributional vs. consequential LCA, handling of biogenic carbon and indirect la…
Mahmudi, Sedat, Dik, Roula
This paper empirically analyzes how conventional economic and financial metrics influence solar energy investment in Kuwait using 13 years of data. A multiple linear regression finds that only LCOE is marginally significant, while other met…
Roozbeh Qorbanian, Nils Löhndorf, David Wozabal
This paper proposes a novel approach for valuing corporate renewable power purchase agreements (PPAs) by blending fundamental electricity market models with statistical learning. Using regularized inverse optimization, it estimates marginal…
Sara Aneva, Dragan Minovski, Vasilija Sarac +2
This paper analyzes the potential of a long-term Power Purchase Agreement (PPA) to enhance the profitability of the Tashmarunishta pumped-storage hydro power plant (PSHPP). It models a 20-year agreement for 300 MW PV electricity at 32 €/MWh…
Olimova Nodira Khamrakulovna
This study systematically examines strategies to enhance the efficiency of renewable and alternative energy utilization in a specific country. It analyzes technological, economic, and institutional barriers, integrates international best pr…
Charles Salcedo
This paper reviews recent trends in environmental and energy physics, explaining how fundamental physics principles (thermodynamics, radiation, fluid dynamics) are applied to renewable energy, climate modeling, and environmental monitoring.…
Priyanka P. Shinde, Padmanabh Malwade, Shreyash Patil +2
This paper explores the use of AI to enhance sustainable solar energy efficiency and mitigate climate change. While specific methods and results are unavailable due to the lack of an abstract, the topic aligns with GX interests in renewable…
Gandla Shivakanth, Ramakrishna Akella, V. Biksham +2
This paper reviews the growing role of AI in solar energy systems and climate change mitigation. AI models such as LSTM, CNN, Random Forest, and computer vision enable efficient solar power forecasting, panel tracking, predictive maintenanc…
bioenergy science
This systematic review categorizes next-generation bioenergy feedstocks into four generations, covering lignocellulosic, algal, and synthetic biology approaches. It discusses pretreatment, enzymatic hydrolysis, and thermochemical conversion…
Gourav K. Rath, Jesús David G. Palencia, Ajay K. Dalai
This review comprehensively assesses thermochemical biomass conversion, especially hydrothermal liquefaction (HTL), examining product properties and applications of biocrude and hydrochar. It highlights the role of AI and machine learning i…
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