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 1241–1260 of 1805 papers
Dr. Sweety Supriya
This review paper explores the role of Artificial Intelligence in India's renewable energy transition. It finds that AI can address intermittency, improve forecasting, and enhance grid stability. The paper concludes that AI and machine lear…
Sule Magaji1*, Bultu Babagana Zanna2, Yahaya Ismail3
This study examines the role of community participation in developing affordable and clean energy solutions in Maiduguri, Nigeria. Analysis of data from 186 respondents shows that community involvement significantly improves accessibility, …
(著者不明)
This Special Issue collects cutting-edge research on integrating renewable energy technologies with green buildings to achieve carbon neutrality. It covers passive radiative cooling, thermal energy storage, intelligent operation, and more, …
Linhai Guo, Zhengcheng Dong, Xiaoyu Zhang +2
This paper proposes a configuration method for photovoltaic and energy storage systems in distribution networks using a two-stage stochastic optimization model. It addresses uncertainty to improve renewable energy integration and grid stabi…
Nurmamatov Shohimardon Abdisalim o'g'li
This article examines the assessment of environmental risk indicators in solar and wind power plant projects in Uzbekistan. Although renewable energy projects are environmentally preferable, they may pose risks related to land use, biodiver…
Almuratova, Nurlio'lmasoy Naym kizi
This study uses ARDL bounds testing on Uzbek annual data (2005-2025) to find a long-run cointegrated relationship: a 1% increase in renewable energy investments raises GDP by 0.284%. A structural break in 2018 is attributed to market libera…
Wilson, R. T.
This review evaluates machine learning optimization of renewable energy systems, focusing on solar/wind forecasting, storage optimization, and grid integration. It highlights improved efficiency, reliability, and sustainability, serving as …
Maciej Dzikuć, Sebastian Kołodziejczak, Adam Król +1
This paper analyzes the economic and technical determinants of successful PV micro-installations in Poland's energy transition from coal. It proposes optimizing panel orientation to mitigate generation peaks that destabilize transmission ne…
Sahlur Hamzah M., Sri Widodo, Ikhlas Kitta, Eymal Bahsar Demmallino
This review critically assesses the environmental risks and sustainable utilization potential of post-coal mining voids. Unmanaged voids cause acid mine drainage and landscape instability, but integrated approaches like floating photovoltai…
Liu, Guohui, Zhang, Huan, Li, Jianghong +2
This paper proposes Wavelet-TimesNet, integrating adaptive wavelet transform and multi-scale residual networks for long-term solar power forecasting. Experiments on datasets from two Chinese climate regions show MAE reduction of up to 4.97%…
Alaromi, Walid, Ihbal, Abdelbaset
This case study examines integrating a 5 MW PV system into a weak 66 kV grid in southern Libya. Real power losses drop by 30.6%, voltage violations are eliminated, and a battery is recommended for evening peaks. Payback is 6.5 years with an…
Mi, Jia, Zuo, Lei
This paper reports findings from an NSF workshop on workforce development for ocean renewable energy and the blue economy. It identifies critical skill gaps and recommends curriculum innovations, experiential learning, and cross-sector part…
Sadoughipour, Mahsan, Dasilva, Marina, VanZwieten, James +1
This study evaluates co-location opportunities for Ocean Thermal Energy Conversion (OTEC) and offshore Kanpachi fish farms in the Southeast U.S., Puerto Rico, and U.S. Virgin Islands. Using QGIS spatial analysis, it identifies areas meeting…
Sadoughipour, Mahsan, Fung, Sasha, Tang, Yufei +1
This study develops a numerical model of a mid-scale (10-20 MW) floating closed-cycle OTEC plant and assesses its power generation potential across the Southeastern US and the Caribbean. Using two years of HYCOM thermal data, it evaluates t…
Aubain, Jonisha, Baker, Erin, Sharman, Krish
This study analyzes Levelized Cost of Energy (LCOE) for marine current turbines in the Caribbean, adapting NREL's RM4 model to local technical and social requirements. A sensitivity analysis examines how LCOE varies with deployment scale an…
Gorr Pozzi, Emiliano, Corrales-Gonzalez, Manuel, Olmedo-González, Jorge +2
This study evaluates the techno-economic feasibility of hybrid wave-wind energy systems in arid coastal regions of Latin America, specifically La Serena (Chile) and Ensenada (Mexico). High-resolution hindcasts were used to estimate energy p…
D'Souza, Winston, Williams, Rick, Colby, Jonathan
This paper reports the current state of international standards and conformity assessment (certification) for marine energy technologies (wave, tidal, ocean current, river current, OTEC). IEC TC 114, established in 2007, has published over …
McConnell, Abilyn, Robertson, Bryson
This paper proposes a real-time hybrid simulation (RTHS) strategy to address scaling challenges in mooring line testing for wave energy converters (WECs). A virtual RTHS system is developed using WEC-Sim and MoorDyn, comparing a fully simul…
Iwakin, Oluwabunmi, Villacres, Daniela, Gilan Nejad, Mehregan +3
This paper proposes a stochastic optimization framework for optimal sizing of hybrid solar-wind-wave coastal microgrids, accounting for resource intermittency. It minimizes levelized cost of energy while ensuring reliability and environment…
KOUADIO M
Using panel data from 85 developing countries (2000-2022), this study finds that renewable energy consumption consistently boosts employment. Robust econometric methods (fixed-effects, GLS, IV) show positive effects from economic growth and…
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