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: #Renewable Energy (clear)

Showing 61–80 of 1789 papers

Peer-reviewedJournalResults in Engineering2026#Renewable EnergyDOI

Integrating Renewable Energy in Sustainable Construction

Ramani Bai Varadharajan, V Ramani Bai, G. Kangadharan

This study simulates rooftop solar PV integration for sustainable construction in Malaysia using PV*SOL Premium, with UCSI University's Block G as an urban case study. A 404 kWp system is projected to generate 554,078 kWh/year, demonstratin…

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Peer-reviewedJournalINTERNATIONAL JOURNAL OF ENGINEERING AND MODERN TECHNOLOGY2026#Renewable EnergyDOI

The Role of Artificial Intelligence in Optimizing Renewable Energy System

Shereef Pelumi Gbadamosi

This literature-based qualitative study examines how AI—machine learning, deep learning, and reinforcement learning—optimizes renewable energy systems. It finds AI improves solar and wind forecasting, real-time smart-grid management, fault …

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Peer-reviewedJournalInternational Journal of Renewable Energy and Environment2026#Renewable EnergyDOI

RENEWABLE ENERGY AS A CATALYST FOR SUSTAINABLE SOCIO-ECONOMIC DEVELOPMENT IN REMOTE REGIONS OF JAISALMER, RAJASTHAN, INDIA

Anshul Mathur, Shivam Negi, Seema Gupta

This review examines how renewable energy drives sustainable socio-economic development in remote Jaisalmer, Rajasthan, India. It maps pathways through which decentralized solar PV, wind, hybrid systems, and emerging green hydrogen improve …

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Peer-reviewedJournalRenewable energy focus2026#Renewable EnergyDOI

Digital analytics for renewable energy scale-up: machine-learning archetypes and 2035 transition pathways across 51 national energy systems

Muhammad Rufaeel Irfan, Muhammad Abdul Qyyum, Nasser Ahmed Al-Azri

This study applies machine learning to classify 51 national energy systems into distinct renewable-transition archetypes and maps pathways to 2035. It identifies country-specific transition patterns, offering evidence for differentiated rat…

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