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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Topic: #Energy Transition (clear)

Showing 2981–3000 of 5822 papers

Peer-reviewed🇨🇳 ChinaJournalAdvances in Applied Energy2026#Energy TransitionDOI

Leveraging building flexibility and regional complementarity to achieve urban zero-carbon power systems: Evidence from Hong Kong and Guangdong

Weike Peng, Yuntian Chen, Dongxiao Zhang +1

This study develops a power system planning framework integrating building flexibility and regional cooperation, using Hong Kong and Guangdong as a case. Hong Kong's building load-shifting capacity ranges 126-1207 MW, with residential build…

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Peer-reviewedJournalJournal of Cleaner Production2026#Energy TransitionDOI

Development of a distributive Canadian energy-water-carbon nexus system planning model for accomplishing net-zero carbon emissions by 2050

Yang Xu, Guohe Huang, Leian Chen +2

This paper develops a distributive system planning model for the Canadian energy-water-carbon nexus to achieve net-zero carbon emissions by 2050. The model integrates energy supply-demand, water use, and carbon emissions across regions, ena…

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Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalAdvanced Energy and Sustainability Research2026#Energy TransitionDOI

Materials Informatics in Carbon Materials for Energy and Sustainability

Κ. Fujita, Shunsuke Shimizu, Shiho Mukaida +3

This perspective discusses the application of materials informatics (MI) to carbon materials design for energy and sustainability technologies. AI-assisted literature mapping, regression analysis, ML-based structural modeling, image-based c…

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Peer-reviewed🌍 GlobalJournalJournal of Climate Change2026#Energy TransitionDOI

<b>Adaptive Injection Phasing and Methanol </b><b>Blend Optimization for Low- Carbon </b><b>Engine Performance: A Meta- Analysis and </b><b>Machine-Learning Framework with CCS </b><b>Integration</b>

Luke Ajuka, Christopher Enweremadu

This study proposes a machine learning framework to optimize methanol blend ratio and injection timing (SOI) to improve brake thermal efficiency (BTE). XGBoost achieved high accuracy (R²=0.985), and integration with carbon capture and utili…

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