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 3401–3420 of 13788 papers
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…
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…
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…
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…
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…
Statistics Canada
This dataset presents survey results on the likelihood of businesses trading carbon credits, segmented by NAICS, employment size, business type, and ownership, for Q2 2026.
Jyothi G.
This paper provides an overview of green financing strategies, challenges, and opportunities for sustainable development. It introduces instruments like green bonds and sustainable investments, discusses implementation barriers, and explore…
Edina K.D.
This paper explores the role of AI and automation in green investment platforms, framing next-generation ESG. Lacking empirical data, it contributes to conceptual discussion on technology-driven sustainability finance.
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…
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…
Carlos Roberto Souza Carmo, Murilo Miceno Frigo, Fernando de Lima Caneppele
This study analyzes 62,273 climate-related disasters in Brazil from 1991 to 2022, covering types like floods, droughts, and storms, and their impacts. It finds increasing trends and projects over 6,000 disasters and 2.5 million affected peo…
Horvat SMA, De Paepe JL, Álvarez R
This global meta-analysis compares energy use and GHG emissions between organic and conventional farming. After harmonizing methods, organic systems show 20% lower non-renewable energy and 40% lower GHG per area, but non-significant per pro…
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…
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…
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…
Yesmeen Khalifa
This brief outlines key stages for embedding Gender Equity, Disability, and Social Inclusion (GEDSI) in modern energy cooking transitions: identifying inequalities, integrating into policy and practice, monitoring progress, and measuring im…
Fraudatario, Maria Camilla, PISACANE, LUCIO, CELLINI, MARCO +1
Examines gender barriers in the European energy R&I workforce through a cross-national survey. Identifies two clusters: a critical cluster (mostly female) perceiving hostile climate and discrimination, and a neutral cluster (mostly male) wi…
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…
Mustafa JA, Alshdaifat SM
This study examines the individual and combined effects of ESG disclosures and GRC practices on banks' long-term capital expenditure efficiency using a global panel from 2010 to 2024. Firm-fixed-effects regressions show positive significant…
B.Umirkulov
This article discusses the essence of the green economy, conservation and rational use of natural resources, and emphasizes the role and importance of accounting in renewable energy use and sustainable socio-economic development.
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