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 241–260 of 758 papers
Maria Altunay
This thesis examines how regulatory, cultural-cognitive, and normative institutions shape and are shaped by actor activities in the diffusion of solar photovoltaics (PV) in Sweden (1996-2025). Using extensive qualitative data, it shows that…
Belkhiri, Driss, Nassiri, Boujemaa, Ajaamoum, Mohamed
This paper proposes a robust power optimization strategy for wind-driven induction machines using type-2 and type-1 fuzzy logic controllers. It maximizes harvested power under variable wind turbulence and uncertain parameters via MPPT based…
Quiroga, Juan Esteban Rodríguez, Rios, Mario A.
This study evaluates synchronous condensers as a mitigation strategy for voltage stability in grids with high renewable penetration. Using PV curves and the 2m+1 point estimate method for uncertainty, it shows that synchronous condensers si…
Jayappa, Rudresha Sogilu, Rajappa, Gopinath Harsha, Ramaiah, Kiran Kumar Gama +2
This paper evaluates the impact of integrating solar and wind distributed generation (DG) on voltage profiles, power losses, and economic performance in a practical 41-bus radial distribution system using Power World Simulator and loss sens…
Ashurov, Samandar Salimovich
This study investigates the physical properties of renewable energy systems, focusing on energy conversion mechanisms and efficiency limitations under fundamental thermodynamic laws. It analyzes solar, wind, hydro, and geothermal energy tra…
Gorraez Meraz, Carlos, Matos Meza, Katherine
This paper presents the first empirical assessment of public acceptance of ultradeep geothermal in Alberta and British Columbia, based on a survey of 2,603 adults. Findings show cautious optimism, with acceptance driven by perceived benefit…
Guevara Luna, Marco Andrés, Clappier, Alain, Barth, Adrian
The Regional Energy Planning Model (REPM) is an open-source framework for optimizing renewable energy systems at regional scales. It integrates optimization algorithms, energy balance calculations, and temporal decomposition to assess scena…
Suresh, Vendoti, Kishore, Dondapati Ravi, Muni, T. Vijay +3
This paper presents a soft-switching high-gain Re Boost Luo converter for photovoltaic systems, reducing switching losses and EMI to improve efficiency and reliability. MATLAB/Simulink simulations confirm significant improvements in voltage…
Ravirala, Anitha Sagari, Muni, T. Vijay, Vinodita, T. +3
This review examines recent advances in high-gain DC-DC converters for renewable energy, focusing on soft-switching techniques and topological innovations. It systematically classifies converter configurations, evaluates zero-voltage and ze…
Nguyen Quyet, Đoan Ngoc Phuc, Le Thi Ngoc Hanh and Nguyen Bang Phi
This study examines the interrelationships among environmental degradation, economic growth, FDI, renewable energy consumption, and industrialization across 10 ASEAN economies using panel data from 1990-2024. It finds that economic growth a…
Osman, Ahmad Supawi, Abidin, Aidil Azwin Zainul
This review paper examines real-time digital simulation techniques for addressing challenges from high renewable penetration, such as voltage fluctuations and transient instability. It focuses on state-space modeling for capturing system dy…
Reddy, Mula Sreenivasa, Krishnaiah, Kondragunta Rama, Gorla, Anjali Devi +6
This paper presents a smart temperature-controlled cooling system for solar PV panels using Arduino UNO. It uses DS18B20 sensor and moisture sensor, activating fan and water pump when threshold exceeded. Experiments showed 10-12% efficiency…
Markkula, Juho, Tuomela, Sanna, Malik, Hamid +1
This paper uses Matlab simulations to model the energy system for a self-sustainable base station powered by renewable sources (wind, solar, hydrogen) in remote areas without grid access. Two equipment configurations are evaluated to provid…
Dr. A. Padmaja Dr. Siva Subrahmanyam Mendu
This book covers fundamentals and advanced research on renewable energy integration, including solar, wind, smart grids, storage, and hybrid systems. It emphasizes recent applications of AI, machine learning, IoT, and blockchain in energy m…
Mesak, Bishoy
This practitioner guide provides a structured implementation framework for designing and deploying decentralized energy systems in irrigation-dependent agriculture. It emphasizes context-specific design based on crop characteristics, irriga…
Gennaiou, Dimitra
This dataset provides synthetic photovoltaic fault diagnosis data generated using a MATLAB/Simulink-based digital twin simulation framework. It includes 35,000 simulated I-V curve images, 35,000 corresponding GASF images, and environmental …
Engr. Sunday E. Ani (PhD)
This study examines how socioeconomic status (income, education, occupation) influences acceptance and optimization of renewable energy in Umunneochi, Nigeria. It finds income significantly affects acceptance, while occupation affects optim…
Grieco, Raffaele, Bovo, Marco, Cervelli, Elena +4
This dataset and calculation framework covers Italian livestock farms from 2011-2023 at municipality level, providing methods to estimate manure production, nitrogen loads, methane emissions, and electricity generation potential. Includes a…
Mrs. Chitra Vinodhkumar
This paper proposes an AI framework integrating IoT sensors, ML, and deep learning for adaptive load balancing and fault prediction in smart grids with high renewable penetration. Experimental results show improved load distribution efficie…
Looknanan S, Cumberbatch E, Beepat K +1
This study simulates and optimizes three PV technologies (poly-Si, CIGS, spherical Si) for residential use in Trinidad and Tobago using HOMER Pro, considering both off-grid and grid-connected scenarios. The optimal off-grid system (0.727 kW…
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