gxceed
GX Research Hub · English

GX & Decarbonization Research

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.

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Topic: #Carbon Pricing (clear)

Showing 301–320 of 816 papers

📚 Peer-reviewed · JournalZhongguo Dianji Gongcheng Xuebao Proceedings of the Chinese Society of Electrical Engineering2018#Carbon PricingDOI

Two-stage Robust Optimization Model of Day-ahead Scheduling Considering Carbon Emissions Trading

Zhang G.

This paper proposes a two-stage robust optimization model for day-ahead scheduling considering carbon emissions trading. It aims to minimize costs and emissions under uncertainty, deriving robust solutions for power system operations amid c…

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📚 Peer-reviewed · JournalKorean Journal of Chemical Engineering2026#Carbon PricingDOI

Carbon Cycle Impact Assessment of Emissions Trading Systems

Manousiouthakis V.I.

This paper assesses the impact of emissions trading systems (ETS) on the carbon cycle, quantifying the environmental effects of carbon pricing and providing insights for policy design.

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🌍 Global📚 Peer-reviewed · JournalShodhKosh Journal of Visual and Performing Arts2026#Carbon PricingDOI

NAVIGATING INDIA’S CARBON CREDIT TRADING SCHEME: A SYSTEMATIC REVIEW OF IMPLEMENTATION CHALLENGES AND EMERGING OPPORTUNITIES

Hrishikesh Upadhyaya, Moirangthem Momocha Singh

This systematic review analyzes the implementation challenges and opportunities of India's Carbon Credit Trading Scheme (CCTS). Key challenges include regulatory uncertainty, inadequate market structure, MRV errors, and industry unpreparedn…

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🌍 Global📚 Peer-reviewed · JournalJournal of Forecasting2026#Carbon PricingDOI

Forecasting and Pricing in the Carbon Credits Market

Yiyang Chen, Rogemar Mamon, Fabio Spagnolo +2

This paper analyzes EUA spot-price dynamics using four stochastic processes and their hidden Markov model extensions. Regime switching enhances jump-diffusion accuracy, improving multi-horizon forecasting, density calibration, and hedging p…

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