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 1–3 of 3 papers
Xiaonan Li, Rongxin Sun, Wenxu Zhang +2
This paper proposes a bilevel optimization model for distributed energy storage configuration that integrates wind-solar uncertainty and a tiered carbon trading scheme. It uses SNGAN and K-means for scenario generation, and an improved Ospr…
Awuor Ponge, Aisha Adhiambo Awuor
This paper analyzes Africa's green industrialization as a transformative pathway to reconcile economic growth with ecological preservation. By leveraging renewable energy, local processing of transition minerals, and the African Continental…
Mohammad Zardoshti Zadeh Yazdi, Jörn‐Christian Meyer, Grit Walther
This paper proposes a multi-objective optimization model for renewable energy carrier (REC) imports to Europe. It evaluates trade-offs between cost, GHG emissions, and supply security, showing that a supply-risk-optimal approach reduces sec…
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