GX Research Hub · English

GX & Decarbonization Research

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.

📊 SNE Research Profile →🔬 Researcher API →About gxceed →🇯🇵 日本語版
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Showing 9261–9280 of 28694 papers

PreprintResearch Square2026#AI × ESGDOI

Quantum Intelligence (QI)-Driven Cross-Level Environmental Monitoring and Governance: Case Studies of Semiconductor Process Emissions, Industrial Wastewater, Urban PM2.5, and Carbon Inventory in Energy Management

Ke W

This paper frames environmental monitoring as collaborative governance infrastructure under ESG and net-zero policies, and explores how 'Quantum Intelligence (QI)'—combining quantum optimization and quantum machine learning—can reshape the …

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🇪🇺 EuropeDatasetZenodo2026#Renewable EnergyDOI

PLANtoACT Task 2.1: Hourly profiles - Solar power

Prina, Matteo Giacomo

This dataset provides normalized hourly solar PV generation profiles for five European regions, generated using PVGIS data. It covers four deployment categories (residential, commercial, utility-scale tracker, agriPV) and is intended for en…

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PreprintZenodo2026#Renewable EnergyDOI

A Comprehensive Review on Performance Analysis, Sizing Optimisation, and Energy Management Strategies for Solar-Wind Hybrid Renewable Energy Systems for Off-Grid and Rural Electrification Applications

S. J. Mulani

This review analyzes 82 papers (2020-2025) on solar-wind hybrid renewable energy systems (HWRES) for off-grid and rural electrification, covering technologies, optimization, and energy management. Optimally designed systems achieve LCOE of …

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🇪🇺 EuropeDatasetZenodo2026#Renewable EnergyDOI

PLANtoACT Task 2.1: Hourly profiles - Hydro power

Prina, Matteo Giacomo

This dataset provides normalized hourly hydropower generation profiles for five European regions, derived from ENTSOE generation data and JRC capacity data. It supports energy system modeling and regional planning.

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🇪🇺 EuropeDatasetZenodo2026#Energy TransitionDOI

PLANtoACT Task 2.1: Hourly profiles - Heating and cooling demand

Prina, Matteo Giacomo

This dataset provides normalized hourly heating and cooling demand profiles for five European pilot regions, generated using the Renewables.ninja API and demand_ninja model. It is intended for energy system modeling, renewable energy assess…

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Preprint🇺🇸 USAZenodo2026#Disclosure InfrastructureDOI

catalyst-cooperative/pudl: PUDL v2026.8.0

Selvans, Zane, Gosnell, Christina, Sharpe, Austen +4

This is a data release of PUDL, an open-source platform that integrates and standardizes US power sector data. It includes updates to EIA and FERC datasets, providing a foundation for decarbonization analysis and energy policy research.

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Peer-reviewedJournalJournal of Dairy Science2026#OtherDOI

Genomic predictions for greenhouse gas traits in Holstein cows

G.A. Oliveira, M.A. Sanchez-Castro, K. Borchers +6

This paper addresses genomic prediction for greenhouse gas (GHG) traits in Holstein cows, potentially contributing to breeding strategies for reducing livestock emissions. Specific methods and findings are unclear due to lack of abstract, b…

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Peer-reviewedJournalKorean Society of Thermal Environmental Engineers2026#Energy TransitionDOI

Comparative Analysis of Greenhouse Gas Emissions Characteristics of Marine Biofuels: Focusing on FAME Biodiesel, Pyrolysis oil, Biomethanol, and Bio-LNG

JiHyun Chung

This paper compares the greenhouse gas emission characteristics of four marine biofuels: FAME biodiesel, pyrolysis oil, biomethanol, and bio-LNG. It evaluates their lifecycle emission reduction potential and practicality, offering insights …

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