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 15221–15240 of 31675 papers
Edobot Udo Ekere, S. N. Chukwu
This empirical study examines the impact of various green finance forms on CO2 emissions in six West African countries. It finds that international clean energy funding and biodiversity conservation donations reduce emissions, while infrast…
J. Kean, A. O'Sullivan
European TSOs need accurate day-ahead wind forecasts for bidding zones. This study trains a deep neural network on 1.57 million hourly observations from 36 European BZs using ENTSO-E and Open-Meteo data, outperforming state-of-the-art TSO f…
Xin Zhao
This paper proposes a joint bidding model for multiple electricity markets (day-ahead, real-time, reserve, frequency regulation) under price limits, incorporating risk preferences. Using 17,520 hours of data from 4 trading zones, the method…
Francesca Curinga, Lorenzo Vitulano, A. Zani
This paper presents a modeling framework to assess the impact of alternative bidding behaviors on price formation in the Italian Day-Ahead Market (2023-2024), supporting a regulatory investigation. It focuses on strategic bidding by combine…
Haoyang Fan, Qi Huang, Zhenyuan Zhang +4
This study proposes tunnel transmission for renewable energy in mountainous regions, finding gas-insulated lines cost-effective where environmental costs are high. Multi-physics analysis and lifecycle cost assessment show optimized conducto…
Umair Khan, Shouwen Wang, Zhaohui Qin +4
This paper proposes the PODO model, a financial framework using Security Token Offerings (STOs) to enable fractional public investment in renewable energy and early capital recovery. Quantitative simulations using Korean power market data (…
Chenyu Su, Yixing Du, Anders Avelin +2
This study proposes four KPIs (NLRR, IRRE, FRM, IFI) to assess power system flexibility under high renewable penetration. Applied to Sweden's SE3 zone in 2024, results show high flexibility adequacy with limited ramping shortages (IRRE 0.03…
Natanon Tongamrak, Kannapha Amaruchkul, W. Wangdee +1
This paper proposes a two-stage stochastic optimization model for 24/7 carbon-free energy (CFE) operations, minimizing cost while meeting CFE compliance. Using deep learning forecasts for load and solar generation, the model optimizes batte…
S. Vachhani, D. Chavda
Compares environmental reporting of two Indian cement giants using GRI and CSI frameworks. UltraTech provides detailed quantitative data, while Shree emphasizes clear narrative. Enhances investor ESG awareness.
Marwa Elnahass, Mustabsar Awais, Ali Uyar +2
This study examines the impact of industrial waste generation on firms' access to debt financing using a large international panel dataset (2002-2021, 16,499 observations). Results show that higher waste generation significantly constrains …
Boaz Mwubahimana, Dingruibo Miao, Jianguo Yan +7
This paper proposes CarbonFormer, a causal spatiotemporal framework for forest aboveground carbon density (ACD) estimation. It overcomes CNN limitations by using an LSTM-based temporal causal decoder and a cross-causal loss function to enfo…
Kopal Jain, Kapila Kumar, Shashi Kumar +1
This paper reviews next-generation microalgae platforms that integrate carbon capture and biofactories for sustainable climate mitigation, highlighting their potential for CO2 removal and bio-based production.
Chuqi Jiang, Kai Wu, Yingying Qiu +3
This paper constructs a global coal and oil value network, evaluating its evolutionary characteristics and resilience over 24 years. Key findings: Saudi Arabia and Israel are central in trade networks but not in value networks; Russia ranks…
Zhihan Sun, Wenbo Sun, Tianhao Yu +3
This review focuses on the molecular design of organic and porous framework cathodes for aqueous zinc-ion batteries (AZIBs). It systematically analyzes soft organic small molecules, polymers, MOFs/COFs with structural tunability and redox a…
Zhiyi Ye, Xunan Yang, Y Cao +3
This study analyzes the spatial spillover effects of livestock-free zone policies on carbon emissions in Guangdong Province, China. Using panel data and spatial econometric models, it finds that while the policy reduces local emissions, it …
J L Xu, Tao Lv, Xiaoran Hou +5
This paper optimizes regional renewable energy layouts in China by balancing system costs and energy justice. It proposes a framework to achieve cost-effective renewable deployment while mitigating regional inequities, contributing to a jus…
Alessandra Montanelli
This paper examines the transition of Renewable Energy Communities (RECs) in Europe's outermost regions from policy experiments to investment realities, highlighting the need for investment, governance, and technical assistance to scale the…
Justice Aduko, John Bosco Baguri Sumani, Kwame Anokye
This review analyzes agroforestry's contribution to climate mitigation and adaptation in Ghana from policy, socio-cultural, and ecological perspectives. It emphasizes integrating local knowledge with policy frameworks.
Wei Shan, Renbo Shi, Changfeng Cheng +1
This study examines how production-oriented AI and R&D-oriented AI differentially impact corporate energy transition using panel data of 4,416 Chinese listed firms from 2010 to 2023. Production-oriented AI enhances energy transition via imp…
Omar Yousef Tarda
This study examines how digital transformation (DT) impacts sustainability reporting (SR) through the mediating role of audit quality (AQ) in Palestinian listed companies. Using GMM estimation on 43 firms' financial reports from 2014-2023, …
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