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 16401–16420 of 19738 papers
Yang Yu
This paper develops a coupled model of flexibility resources and power market trading in a new power system. It integrates a PSO-LS-SVM price prediction model and a bi-level optimization model incorporating carbon, green certificates, and c…
Yanis Rihi
This paper critically analyzes how climate justice risks becoming a tool of domination, using the case of the Just Energy Transition Partnership (JETP) in Senegal. It questions power structures in international climate finance.
Kashif Khaqan, Benedikt Fest, Tim Harrison +1
This study reviews carbon farming in Australian broadacre agriculture via ACCU projects and literature. Thematic analysis reveals progress in adoption but challenges like carbon price and accounting tools. Four scenarios show net zero in ag…
Lianbiao Cui, Guofeng Song, Mei Duan
This paper proposes a method for allocating carbon emissions to municipalities within China's provincial budget system. It integrates equity, efficiency, and regional preferences, offering insights for carbon budget management policy in Chi…
Hongyin Chen, Songcen Wang, Xiaoqiang Jia +5
This paper proposes a multi-objective coupling optimization strategy for integrated energy systems (IES) targeting economy, low-carbon, and exergy efficiency using deep reinforcement learning. It incorporates demand response models for elec…
Lizhen Wu, Haofei Liu, Xiping Ma +1
This paper proposes a low-carbon economic dispatch scheme for virtual power plants (VPPs) by exploiting the temporal and spatial flexibility of data center workloads. It introduces a 'source-load-storage' coordinated scheduling architecture…
Sun Cole Seeberg Dyremose, Carolijn van Noort, Peter Sorknæs +1
This paper examines the governance of the Danish Bornholm Energy Island (BEI) offshore wind hub, using the Multilayered Collaborative Marine Governance (MLCMG) model to analyze enabling and constraining conditions for change and innovation.…
Lei Zhang, Qin Li, Xianxin Gan
This paper proposes a low-carbon optimal scheduling model for integrated energy systems (IES) with CCS, incorporating a dynamic coupling mechanism between carbon and green certificates. Using IGDT for uncertainty, the model minimizes operat…
Guangsheng Zhang, Ran Yan, Zhaomin Zhang +2
This paper analyzes emission reduction decision-making in a shipping logistics service supply chain under carbon cap-and-trade, focusing on AI technology adoption. It models cost-sharing contracts (one-way and two-way) between service provi…
Zhangrong Pan, Yuexin Wang, Junhong Guo +5
This study develops a system dynamics model for China's carbon, energy use rights, and electricity markets (ternary system). It identifies three key mechanisms: price signal transmission, dual regulatory constraints, and mutual quota recogn…
Ulia Baut de Smondera
This paper explores the significant role of independent researchers in advancing renewable energy technologies. It examines methodological approaches, key contributions, and challenges in scalability and integration, finding that independen…
Honghui Zhang, Dejie Zhao, Limin Jia
This paper proposes a meteorology-informed bilevel optimization framework for coordinated low-carbon operation of park energy systems with EV clusters and energy storage. The upper level minimizes cost and carbon emissions with endogenous p…
Marcos de Castro Matias, Benjamin Miranda Tabak
This meta-analysis of 17 studies on Climate Policy Uncertainty (CPU) and renewable energy transition investments finds a small, insignificant average effect with high heterogeneity. A four-channel transmission framework explains 50.4% of va…
Sylvia Ukamaka Echefu, Musa Bappah, Tatiana Ivanova +4
This study examines Nigerian rice farmers' awareness and willingness to adopt waste-to-energy valorisation of rice by-products as a circular economy strategy. Using a bivariate probit model on survey data from 150 farmers, it finds that edu…
Debin Fang, Heng Zhou, Pengyu Wang +1
This study optimizes wind-solar-gas-storage integrated energy systems under carbon and green certificate markets. Results show that simultaneous implementation of CET and GCT reduces operating costs by up to 50.2% and carbon emissions by 29…
Mohamed Abuella, Adib Allahham, Sara Walker
This study proposes a bi-level optimization framework for hydrogen blending (0-100%) in Great Britain's energy system, combining cooperative long-term investment planning with short-term operational simulation. Using Shapley-value payoff al…
Kaihua Wang, Yu Han, Bao-chang Xu +1
This study employs rolling-window estimation to analyze dynamic causalities between China's carbon emission price (CEP) and new energy industry (NEI). Results show CEP positively affects NEI during external shocks (e.g., COVID-19) but also …
Joana Žukauskienė, Vytautas Snieška
This study investigates the relationship between carbon tax revenue and GDP in the EU. While existing research focuses on emission reductions or social use of revenues, the impact on GDP remains unclear. This paper reveals the economic cons…
Ali Moridian, Fatemeh Havasbeigi, Magdalena Radulescu +2
This study examines the asymmetric impact of economic policy uncertainty (EPU) on CO2 emissions in 12 MENA countries (1995-2022) using a panel NARDL model. Both positive and negative EPU shocks increase emissions, while globalization reduce…
Yue Lin, Zhimin Lu, Huaiqing Qin +7
This paper proposes a bilevel multiobjective optimization model for regional integrated energy systems, using dynamic carbon emission factors and time-of-use pricing as demand response signals. The model achieves a 10.29% cost reduction and…
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