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 381–400 of 1715 papers
Suresh Sapkota
Nepal's hydropower capacity exceeds 4,296 MW, supplying over 90% of domestic electricity and exporting surplus to India and Bangladesh. Despite driving economic modernization, the sector faces dry-season output drops and climate risks, prom…
Rudolph, David, Stoltmann, Estelle, Fajardo Ligero, Lucia +2
This report provides a qualitative review of socio-economic impacts of offshore wind farm developments and their assessment methods, drawing on international literature, SEA/EIA reports, and expert interviews. It conceptualizes key impacts,…
Hassan, Taimoor, Krajewski, Piotr
This dataset provides panel data for high-income economies on renewable electricity, energy taxation, and energy transition indicators. It enables analysis of non-linear and synergistic effects, serving as a foundation for empirical researc…
Xinghong Cheng
This study quantifies the impact of increasing heatwaves on solar power output in China and projects future PV losses under SSP scenarios using AI-based downscaling. It highlights the challenges heatwaves pose to China's carbon neutrality g…
PhD Yuel Okey Kalu, Richard C. Udeala, Sunday Uta Kalu
This study surveys builders and civil engineers in South-East Nigeria on the optimization of building-integrated renewable energy systems (BIRES). It finds low adoption and awareness, with barriers including lack of design guidelines, high …
Michaela Makešová, Michaela Valentová, Matouš Pilnáček
This paper uses latent class analysis to develop a typology of household photovoltaic (PV) investors, revealing heterogeneity in investment behavior. Based on Czech data, it identifies distinct classes of investors by characteristics and mo…
Ravi Sheth, Chandresh Parekha
This chapter examines the synergy between renewable energy and AI, highlighting how AI technologies like machine learning and deep learning can optimize solar and wind energy systems through predictive analytics, demand forecasting, and rea…
Kire Stavrov, Strahinja Trpevski, Natasha Malijanska Andreevska
This study develops an integrated methodology combining LiDAR data, GIS analysis, and dynamic solar simulation to assess solar energy potential in the built environment. It finds that roof geometry, orientation, and climate strongly influen…
Prina, Matteo Giacomo
This dataset provides normalized hourly wind power generation profiles for five European regions, generated using MERRA-2 and Renewables.ninja. It supports energy system modeling and regional planning.
Prapanukool C.
This paper proposes a novel methodology for designing power purchase agreements (PPAs) for rooftop solar PV under the behind-the-meter scheme. It aims to optimize cost and risk balance, promoting renewable energy adoption.
Taromboli G.
This paper proposes a portfolio optimization method for power purchase agreements (PPAs) to address residual demand in energy communities. It aims to enhance renewable energy adoption and balance supply and demand, achieving both economic e…
Abdoli S.
This paper investigates how the photovoltaic (PV) industry can contribute to meeting growing energy demand while achieving absolute sustainability. It examines the potential and challenges of scaling PV technology to satisfy energy needs wi…
Chao Wang, Wenhuan Cao, Hui Li +1
This paper reviews the application of lignin-based functional materials in photovoltaics. Lignin, a natural polymer, offers a low-cost and sustainable alternative for enhancing solar cell performance, contributing to the advancement of rene…
Wen Zhang, Yuhan Chen, Shisheng Chen
This critical review systematically examines design frameworks and performance assessment methods for photovoltaic (PV) applications on parking lots. It highlights the potential of parking lot PV to combine efficient land use with renewable…
Xian Liu, Guihua Yi, Liming Jiang +3
This study assesses the biogeophysical impacts of China's rapid photovoltaic expansion, such as surface temperature and albedo changes, and proposes an integrated framework for sustainable siting. It provides empirical insights linking rene…
Warunee Khampa, Woraprom Passatorntaschakorn, Wongsathon Musikpan +11
This study introduces a synergistic dual-modification strategy for low-temperature TiO2 electron transport layers in carbon-electrode perovskite solar cells, combining TDBA ligand-assisted network engineering with SnO2 passivation. The appr…
Pham Ngoc Huong Quynh, Nguyễn Thị Huyền, Trần Thị Kim Thanh +2
This study empirically tests an extended Theory of Planned Behavior model to explain solar PV adoption intention among rural Vietnamese households. Using SEM on 404 survey responses, it confirms attitude's mediating role, with environmental…
Liying Qiu, Rahman Khorramfar, Wang Shen +2
This study evaluates how climate change affects resource adequacy risks in wind and solar power systems and reconsiders optimal siting of renewable plants. By integrating climate models with power system models, it quantifies operational ch…
Wooyoung Jeon, Jingyu Qu, Jongik Kim +1
This paper examines cost-effective expansion of renewable energy, focusing on policy design under dual price uncertainties. It analyzes the transition from renewable portfolio standards (RPS) to auction mechanisms, potentially offering insi…
Baddi Prasanth Kumar, Manneli Talpagiri, Pothula Sreenivasulu
This paper proposes a hybrid power generation system integrating solar PV, wind, and piezoelectric sources to ensure reliable electricity supply. Each source's complementary characteristics are utilized, with power conditioned and stored in…
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