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.

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Topic: #Energy Transition (clear)

Showing 2841–2860 of 5822 papers

Preprint🇪🇺 EuropeZenodo2026#Energy TransitionDOI

PyPSA/linopy: v0.9.0

Fabian Hofmann, Felix, Lukas Trippe +25

PyPSA/linopy v0.9.0 is an update to a linear programming library for energy system optimization, featuring performance improvements, bug fixes, and a new stateful solver API, enhancing computational efficiency for large-scale energy models.

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Preprint🇪🇺 EuropeZenodo2026#Energy TransitionDOI

D5.6 - Best practice guidelines for battery manufacturing (a)

Mendoza, Gemma, Cerrillo Redondo, Cristina, Ormazabal Lopez, Guillermo +1

This deliverable provides guidance on integrating ecological standards early into battery machinery design in Europe. It reviews key regulations (ESPR, Battery Regulation, NZIA, CRMA) and the Safe and Sustainable by Design (SSbD) framework,…

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Preprint🌍 GlobalZenodo2026#Energy TransitionDOI

PAY-AS-YOU-GO FINTECH MODELS FOR CLEAN ENERGY ADOPTION

Mrs. A. Lalitha, Mohammad Shah Alam Chowdhury, Mohammad Mehedi Hasan

This conceptual paper examines Pay-As-You-Go (PAYG) FinTech models that enable clean energy access for low-income households through small, periodic payments. It highlights how digital payments and smart metering reduce financial barriers, …

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Peer-reviewedJournalScientific Reports2026#Energy TransitionDOI

An adaptive modified Newton–Raphson-based optimizer for efficient optimal power flow performance under multiple operating conditions

Ali S. Aljumah, Mohammed H. Alqahtani, A. Shaheen +1

This paper proposes a Modified Newton-Raphson-Based Optimizer for optimal power flow with renewable photovoltaic sources. It adds adaptive crossover and sigmoid decay, tested on IEEE 30-bus system. Includes probabilistic OPF with solar unce…

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