GX Research Hub · English
GX & Decarbonization Research
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.
🇪🇺 EuropePreprintZenodo2026#Renewable EnergyDOI
Model Template for Renewable Energy Supply Systems (MTRESS)
Schönfeldt, Patrik, Schlüters, Sunke, Upadhaya, Ajay +1
This paper reports an update to MTRESS, an open-source model template for renewable energy supply systems. Key changes include consistent time zone handling, compatibility with current Pandas and solph APIs, and a fix for battery storage is…
PreprintZenodo2026#Renewable EnergyDOI
Access to Low-Carbon Energy Technologies in Nigeria: Status and Challenges
Babatunde, A. Aodu, Maruf, Sanni, Akinwale, Y.O.
This study reviews literature (2018-2025) on low-carbon energy adoption in Nigeria, identifying policy, economic, technical, and social barriers. It highlights the need for tailored incentives and pro-poor strategies to enhance energy acces…
PreprintZenodo2026#Renewable EnergyDOI
IMPROVING THE PRODUCTION TECHNOLOGY AND ECONOMIC EFFICIENCY OF THIN-WALLED SUPPORTING STEEL STRUCTURES FOR SOLAR PHOTOVOLTAIC STATIONS
Shermatov, Bakhrullo Xayrullo ugli, Umarov, Abduraxim Maxammadumar ugli
This paper investigates the fabrication technology of support steel structures for solar panels optimized for Uzbekistan's conditions. It uses low-carbon St3 steel, designs a rotating pneumatic jig to minimize thermal distortion during weld…
🌍 GlobalPreprintZenodo2026#Renewable EnergyDOI
Wind speed prediction and energy estimation using the SARIMA method in Banyumas Regency
Yuniarto, Abdul Hakim Prima, Nawangnugraeni, Devi Astri, Admaja, Rafif Aldo +1
This study predicts wind speed in Banyumas Regency, Indonesia using SARIMA models and evaluates electricity potential from small-scale wind turbines. The best model SARIMA(1,0,0)×(0,1,1,52) forecasts average wind speed of 3.41 m/s and daily…
🇺🇸 USAPreprintZenodo2026#Renewable EnergyDOI
Development and Experimental Investigation of a Pendulum-Based Wave Energy Converter for Met-Ocean Sensing
Shalaby, Ahmed, Nassar, Mahmoud, Paredes, Ruben +3
This study proposes an autonomous buoy equipped with a pendulum-based wave energy converter (P-WEC) to harness ocean wave energy for powering sensors. The design, development, and experimental evaluation in a wave tank show promising energy…
🇺🇸 USAPreprintZenodo2026#Renewable EnergyDOI
OES-Environmental & Tethys: Helping the Marine Energy Community Understand Environmental Effects
Farr, Hayley, Garavelli, Lysel, Freeman, Mikaela +6
This paper introduces OES-Environmental and the Tethys platform, which aggregate and disseminate information on the environmental effects of marine energy development. The 2024 State of the Science Report summarizes global knowledge, and fu…
🇺🇸 USADatasetZenodo2026#Renewable EnergyDOI
Supporting files for "Differences in cluster and internal wake effects from mesoscale and large-eddy simulations off the U.S. East Coast"
Sanchez Gomez, Miguel
This deposit contains input files, turbine positions, power and thrust curves, and source code for the WRF actuator disk model, used to run simulations for a study on cluster and internal wake effects of offshore wind farms off the U.S. Eas…
🇪🇺 EuropePreprintZenodo2026#Renewable EnergyDOI
D2.2 Advanced Forecasting Tools
Lombardi, Pio Alessandro, Arendarski, Bartlomiej, Sikorski, Tomasz +7
This deliverable presents advanced forecasting tools for ultra-short-term and short-term prediction of PV generation and electricity demand within the FlexBIT project. Using machine learning and scalable data pipelines, it provides minute-l…
PreprintResearch Square2026#Renewable EnergyDOI
Neuro-Fuzzy Adaptive Model Predictive Control for Enhanced Voltage Stability in Transmission Systems
Mekuriaw M
This paper proposes a Neuro-Fuzzy Adaptive Model Predictive Control (ANFIS-MPC) to enhance voltage stability in transmission systems. Under disturbances from renewable integration, it achieves 68.7% faster voltage recovery and a voltage nad…
🌍 GlobalPreprintResearch Square2026#Renewable EnergyDOI
Evolutionary Algorithms and Engineering Applications: A Comprehensive Survey of Classical Methods and Emerging Trends
Hasan M, Yasmin F
This survey provides a structured review of evolutionary algorithms (EAs) for engineering problems, covering applications in renewable energy, civil engineering, industrial optimization, and more. It discusses classical methods and emerging…
🇺🇸 USAPreprintZenodo2026#Renewable EnergyDOI
Deep Learning Based Ocean Current Feature Detection for Prediction
DeVito, Louis, Fung, Sasha, VanZwieten, James +2
This study proposes a data fusion tool integrating high-resolution sea surface temperature, chlorophyll-a, and HF radar data with convolutional neural networks (CNNs) to automatically detect and track oceanographic features (eddies, current…
🇺🇸 USAPreprintZenodo2026#Renewable EnergyDOI
The Biggest Mistakes We Made with the LUPA WEC, and How We Tackled Them
Beringer, Courtney, Robertson, Bryson, Bosma, Bret
This paper shares lessons learned from 5 years of designing, building, testing, and modeling the open-source LUPA wave energy converter at Oregon State University. It details design changes addressing stability, safety, ease of use, scaling…
🇺🇸 USAPreprintZenodo2026#Renewable EnergyDOI
Control Framework Design for Wave Energy Converters with Direct Drive Linear Generator-Based Power Take-Off Systems
Masood, Usman, Shabara, Mohamed A, Grasberger, Jeff +2
This study proposes a comprehensive control framework for wave energy converters (WECs) with direct drive linear generators (DDLG) for power take-off (PTO) systems targeting blue economy applications. It introduces sliding mode control (SMC…
PreprintZenodo2026#Renewable EnergyDOI
MODERN STATE OF ENERGY CONSUMPTION AND USE OF AIR-COOLING SYSTEMS IN BUILDINGS
Panjiyev, Umarbek Orol ugli
This paper reviews energy problems from the late 20th to early 21st century, emissions, and climate change, focusing on the current state of building cooling energy consumption. It promotes the use of renewable energy, especially solar heat…
🇪🇺 EuropeJournalZenodo (CERN European Organization for Nuclear Research)2026#Renewable EnergyDOI
Reconciling the green-versus-green dilemma in Greece's renewable electricity transition
Anastasios Karamaneas, Natasha Frilingou
This repository hosts the results processing scripts for the 'Green VS Green' analysis, which examines trade-offs between renewable energy expansion and environmental conservation in Greece's electricity transition. The repository provides …
🌍 GlobalDatasetZenodo (CERN European Organization for Nuclear Research)2026#Renewable EnergyDOI
ADVANCES IN RENEWABLE ENERGY TECHNOLOGIES: AN INDEPENDENT RESEARCH PERSPECTIVE
Ulia Baut de Smondera
This paper highlights how independent researchers advance renewable energy technologies, contributing to cost-effective solutions and interdisciplinary applications, especially improving energy access in underserved regions. Challenges rema…
🇪🇺 EuropeDatasetZenodo2026#Renewable EnergyDOI
Kilometer-scale climate data provide no added value for regional photovoltaic energy analysis
Voigt, Aiko
This study evaluates whether kilometer-scale climate data adds value to regional photovoltaic energy analysis. Results show no significant improvement over coarser data, questioning the cost-benefit of high-resolution climate data for PV pl…
PreprintZenodo2026#Renewable EnergyDOI
PROSPECTS OF USING SOLAR ENERGY
S. Zoirov, J. Patinov, I. Shoqosimov
This article reviews the advantages and disadvantages of solar energy technologies, highlighting technical issues in renewable energy research and the beneficial interplay with regulatory policy frameworks. It discusses a future roadmap for…
PreprintZenodo2026#Renewable EnergyDOI
COMPARATIVE CORRELATION ANALYSIS OF RENEWABLE ENERGY SYSTEMS USING PEARSON, SPEARMAN, AND KENDALL METRICS
Tursunpulat Abraev, Samad Nimatov, Odiljon Zaripov
This study compares the effectiveness of Pearson, Spearman, and Kendall correlation coefficients in renewable energy systems. It evaluates the nonlinear characteristics of wind and solar power systems and finds that Spearman and Kendall are…
🇪🇺 EuropeJournalZenodo (CERN European Organization for Nuclear Research)2026#Renewable EnergyDOI
Bioeconomía y el Valor del Residuo
Oscar Adrián Hernandez García
This book analyzes decentralized circular systems that convert organic and inorganic waste into valuable resources in residential and urban settings. It examines composting, anaerobic digestion, and material recovery, integrating them into …