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 5181–5200 of 29718 papers
Claire V. Squire, Jiehong Lou, Kyle J. Parker +6
A study on optimizing land-use allocation in Indonesia across competing goals: food security, bioenergy production, and forest conservation. It likely quantifies trade-offs between bioenergy expansion and forest protection. Details unavaila…
Muhammad Fahdillah Fahmi
This study analyzes four formal corporate documents (2024-2025) at Indonesia's state-owned utility PT PLN to examine how strategic communication governance integrates stakeholder management, public information disclosure, and sustainability…
Doug Doucette
This paper reframes climate policy around managing the climate system's structural stability, treating a 'resonance gap' as a depreciating public good. It derives a spectral correction to the Hotelling rule, inverse-U carbon tax paths, pric…
Hunter Hughes
Emerging economies must industrialize, decarbonize, and climate-proof simultaneously, unable to follow the historical 'build first, clean later' path. In 2024 they drove 82% of global energy demand growth but received only 7% of internation…
Jittima Prasara-A, Pornpimon Boonkum, Charongpun Musikavong +1
A 25-year bio-economic simulation in Thailand compared oil palm monoculture, cassava monoculture, and cassava-oil palm intercropping. Intercropping matched oil palm's carbon sequestration (−389.50 tCO2eq/ha) while bridging early-stage incom…
Gianfranco Chicco, Gulshan Mustafayeva, Angela Russo +13
This review develops a multilevel framework for controllable household appliances across five domains: digital control, flexibility analysis, user engagement, aggregator management, and energy communities. It synthesizes methods, indicators…
Lin Yang, Simin Huang, Wenhui Zhao +2
This study assesses digitalization's climate mitigation potential by constructing a digitalization index, estimating total factor energy productivity, and applying random forest, SHAP, DeepAR, and counterfactual simulations. It quantifies t…
A. Shaji George
Enteric methane from 1.5 billion cattle is among the largest untackled agricultural GHG sources. This review examines seaweed-based feed additives that inhibit rumen methanogenesis, citing reductions up to 80%+ depending on dose and conditi…
Samuel O. Okozi1*, Peter C. Ibeh1, Ernest O. Ezugwu2, Maryrose O. Abba3, Sunday Chukwujindu4
This study quantified annual CO2 emissions from diesel generators at a Nigerian university using the IPCC fuel consumption-based emission factor method (2.68 kg CO2/L). Annual diesel use was 581,882.7 litres, yielding 1,559.4 tonnes CO2/yea…
Haibo Wang, Lutfu Sua, Jaime Ortiz +2
Using TVP-VAR on daily data (2013-2023), this study examines volatility spillovers between seven critical mineral ETFs and energy, carbon, sentiment, and infrastructure variables. High-ESG portfolios contribute significantly to shocks; WTI …
Azkue M, Saez-de-Ibarra A, Mascaro V +4
A three-layer hierarchical EMS developed in the HAVEN project uses cloud-based AI to forecast renewable generation, load, and battery remaining useful life, while mid-level optimization and edge-level control coordinate a hybrid storage sys…
Dulecha KA, Sime TL, Ararso ZT +3
Proposes an AI framework combining LSTM, XGBoost, and reinforcement learning to optimize Ethiopia's solar, wind, and hydropower systems. Using real data from Ethiopian Electric Power and meteorological agencies, XGBoost achieved 0.91 accura…
Maia Vilela M, Baesso Grimoni JA
Using generative AI and 6,700 origin-destination survey responses, this study calculates commuting-related GHG emissions at USP's Butantan Campus. Commuting can exceed Scope 1 and 2 emissions, underscoring the need to include Scope 3 in hig…
Islam MS
EcoAccel-ITAD is a telemetry-driven, non-destructive diagnostic and carbon allocation framework for second-life heterogeneous AI accelerators at decommissioning. It pulls low-level degradation metrics via vendor APIs (NVML, ROCm SMI, OneAPI…
KEÇECİ, Ahmet, HELVACI, Hüseyin Utku
A frozen data-and-code release supporting a study on dynamic carbon routing in an integrated MCFC–CCS–methanol system. It includes electrochemical modules, a validated reduced model for cryogenic CO2 purification, a 24-h multiobjective opti…
Melo, Joana, Rossi, Simone, Achard, Frédéric +16
Version 4.0.0 of the LULUCF Data Hub compiles country-level CO2 fluxes from land use, land-use change and forestry reported by 197 UNFCCC Parties, harmonised to IPCC categories (forest, deforestation, organic soils, HWP). It translates inde…
DODDE, Kyrill
Using a bottom-up OSeMOSYS optimization model, this study assesses four decarbonization scenarios for Morocco's agri-food industry to 2050 under tightening climate policy and EU CBAM exposure. An 85% emissions cut is technically feasible vi…
Chen, Yang, Zhang, Shumin, Huang, Dasheng +6
This repository provides the analysis code, processed data and figures for a study on China's shift from pollution haven to decarbonisation supplier. It covers GLORIA v060 MR-SUT embodied-emission accounting (1990-2024), MEIC v2 pollutant c…
Jinyu Shiwang, Wei Peng, John Bistline +10
Using three leading U.S. energy system models (US-REGEN, GCAM-USA, REPEAT), this study shows net-zero transitions robustly cut ambient PM2.5 and related mortality nationwide. By 2050, PM2.5-attributable mortality falls 28–73% versus 2017, t…
Aby sabzwari, Jeremy Kraemer
This study derives decarbonization best practices from an experience survey of water utilities. It compiles practical insights on reducing energy use and GHG emissions in public infrastructure operations, with a focus on operational improve…
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