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 821–840 of 1701 papers
Musa, Danladi
This study quantifies municipal solid waste in Kano metropolis and assesses its biogas potential. It finds that 75% of waste is organic, suitable for anaerobic digestion. Projected daily waste of 7,885 tons by 2038 could be converted into r…
Yiming Wang, Arthur N. Montanari, Adilson E. Motter
Commentary arguing that renewable generation can enhance grid stability through synthetic inertia, advanced inverter-based control, and coordinated transmission planning, using the 2025 Iberian blackout as a case. Emphasizes that energy sto…
Melisa Karimova
This mixed-method study examines the socio-economic and ethical issues of Uzbekistan's renewable energy transition. It analyzes FDI and renewable capacity data (2019-2025) and evaluates the green economy strategy, revealing an implementatio…
M. Azgar, El Ayachi Chater, N. Laaroussi
This study compares 19 seawater and brackish water desalination projects powered by renewable energy, covering membrane-based (ED, FO, RO) and thermal (MVC, MSF) processes. It evaluates specific energy consumption (SEC), integration strateg…
Bernardo Farrero
This repository provides Python-based simulation tools and computational workflows for analyzing solar thermal energy systems using Greenius. It enables simulation management, input preparation, data processing, result extraction, and key p…
Academic Journal of Manufacturing Engineering
This paper proposes an AI-optimized adaptive PWM control (AIO-PWM) using reinforcement learning for three-phase grid-connected PV inverters. It achieves 92.68% efficiency and 3.02% THD, outperforming conventional methods, with a 1.8-year pa…
Schaefer, Constance
This paper provides pre-trained weights for a YOLO11nOBB oriented object detector to detect photovoltaic (PV) modules, facilitating automated inspection and maintenance of solar installations.
Schaefer, Constance
This dataset consists of infrared images of photovoltaic (PV) modules captured by a small uncrewed aerial system (sUAS). It provides 8-bit grayscale cropped images at 3.13 cm/pixel resolution, annotated into eight fault types including cell…
Ferreira-Martinez, D., Oliveira, Filipe Tadeu, Soares, F. J. +2
This paper proposes a dispatch algorithm integrating thermal, wind, solar, hydro, and storage for isolated systems. By using batteries for spinning reserve, it maximizes renewable integration and reduces thermal share. Validated with real d…
Almeida, M. F., Soares, Filipe Joel, Oliveira, Filipe Tadeu +2
This paper proposes AI methods using LSTM networks to predict hydro reservoir inflows in Madeira Island. It combines radar data and numerical weather prediction models to simulate water flow from precipitation to turbine. The Socorridos Faj…
Kim Cholibois, Jonas Straub, Yvonne Scholz +4
This dataset provides global hourly capacity factors and installable capacities for onshore/offshore wind and various photovoltaic technologies for 2018. Calculated with the EnDAT tool considering land availability and ERA5 meteorological d…
Rivera-Salazar, Mario Germán, Peña-Gatica, Carlo, Melendez-Muñoz, Diego +1
This paper analyzes a tidal energy pre-project in Baja California using a theoretical model integrating biophysical, institutional, and human dimensions from a sustainability perspective. The case study reveals technical viability but signi…
Zuhaib Mirza
This paper develops and validates a comprehensive policy framework for renewable energy development through comparative case studies across seven countries. It finds that institutional maturity is a primary determinant of policy success, wi…
Ricky Maulana, Syafii, Aulia
This paper proposes a framework integrating SARIMA-based PV forecasting with multi-interval optimal power flow. Forecast errors are low, and PV integration reduces system operating costs. Compared to conventional single-interval OPF, the fr…
Brendan, Pierpont, Fripp, Matthias, Solomon, Michelle
This repository provides Switch model inputs and outputs used for the Energy Innovation study "Let The Sun In: Clean Energy Is The Cheapest Way To Meet Rising Demand", demonstrating that clean energy is the most cost-effective option to mee…
*Uwuigbe, E.O. and Omoze, L.E.
This study designs a standalone PV inverter system for the University of Benin, Nigeria. Based on a load survey, components are sized and optimized using HOMER Pro. The levelized cost of energy is ₦143.47/kWh, cheaper than the grid rate of …
Deuß, Andreas, Haefner, Gonzalo, Matthies, Ellen +1
This study quasi-experimentally examines the effect of interactive communication tools on raising awareness of the cost-competitiveness of renewable energy technologies (RETs). It analyzes how ICT tools influence perceptions of RET cost-com…
Naegeli de Torres, Friederike, Brödner, Romy, Cyffka, Karl-Friedrich +8
This paper presents key results from the DBFZ Resource Database (DE-Biomass Monitor), covering biomass potentials and utilization of biogenic wastes and residues in Germany from 2010 to 2020. It provides static calculation parameters and da…
Jhonny S Ibarbo, Brayman V.Ruiz, Luis Fernando Mulcué-Nieto +3
This study evaluates a BIPV building in Colombia's tropical mountain climate, showing net-positive energy (6x consumption) and 1.98 tCO2e annual emissions avoidance, while maintaining thermal comfort per ASHRAE 55, providing a replicable fr…
Madenova Elmira Nizamatdinovna
This paper analyzes the effective use of local natural and economic potential in Uzbekistan under climate change using comparative advantage and factor endowment theories. It assesses the roles of solar energy, irrigated agriculture, and wa…
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