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.
Showing 921–940 of 4160 papers
Adnan Aijaz, Xinyi Lin
This paper introduces packetized energy management (PEM) to transform 6G infrastructure into grid-interactive, energy-aware assets. PEM schedules flexible demand as energy packets, improving renewable utilization, peak-aware operation, and …
Thorben Sandmeier
This thesis develops a large-scale AC-OPF framework for congestion management in renewable-dominated power systems. Case studies on German and European grids (2025-2050) show that HVDC corridors and FACTS devices can reduce redispatch costs…
Aleksander Jakimowicz
This paper presents a systemic analysis of the global energy transition, framing it as the central driver of the modern polycrisis. It argues that current decarbonization strategies, lacking a holistic view, trigger nonlinear amplifying fee…
Frank W. Geels
This paper explains China's dominance in clean-tech (solar, wind, EVs, batteries) by combining socio-technical transition and political economy theories. It argues that EU/US institutions gave incumbents policy access, weakening policies, w…
Antans Sauhats, Diāna Žalostība, Roman Petrichenko +4
This paper proposes an AI-based surrogate modeling framework using artificial neural networks (ANNs) to accelerate long-term power system transition planning. By combining stochastic scenario generation with detailed simulations and ANN sur…
Võsa, Karl-Villem, Simson, Raimo, Mikola, Alo +1
A statistical treatment of the European Heat Pump KEYMARK certification corpus yields population-level COP models for air-to-water heat pumps, validated against EN 14825 SCOP, with Estonian climate data and conversion code for dynamic build…
Charousset-Brignol, Sandrine, Marie-Ann Evans Calmels, Arvesen, Anders +16
This report evaluates the National Energy and Climate Plans (NECPs) of EU member states, aiming to improve and coordinate European energy system modeling. It analyzes the NECPs of Spain, Norway, Sweden, Germany, Turkey, Greece, France, Port…
Kondratenko, Aleksander, Yeh, Sonia, Libertson, Frans +2
This report presents a mathematical toolkit for simulating grid impacts of port electrification and proposes standardized evaluation methodologies. It develops a three-phase typology of port electrification, frameworks for optimal charger p…
Zhitong Ma, Xueyang Sun, Hanghang Zhao +3
A meta-analysis of 76 field studies across China examines how water-saving irrigation (deficit, alternate, intermittent) affects CH4, N2O, and CO2 emissions. Results show a trade-off: CH4 reduction but N2O promotion, with regional and soil …
Gatto A.
This paper compares subsidization policies for green hydrogen uptake in the US and EU, analyzing policy design and effectiveness. It offers insights for policymakers and industry to accelerate the hydrogen economy transition.
Kartal M.T.
This paper empirically examines the impact of green bonds, clean energy stocks, oil prices, and geopolitical risk on sectoral decarbonization (carbon emission reductions) using daily data and marginal effect analysis on a global scale. It r…
Metcalf G.E.
An opinion piece debunking five common myths about carbon pricing, using economic reasoning and real-world examples to defend the effectiveness of carbon taxes and emissions trading. Aimed at policymakers and practitioners.
Ma Y.
This study uses interpretable machine learning to identify greenwashing in heavily polluting enterprises and uncover its multidimensional driving mechanisms. By analyzing corporate ESG disclosures and behavioral data, it builds a model that…
Usama Aslam, Vikram Kumar, Muhammad Ahsan Niazi +1
This paper proposes Graph-X, a unified graph-structured deep learning and stochastic optimization framework for day-ahead electricity price forecasting and risk-aware VPP bidding. It models market-clearing behavior by converting bids into p…
Yuhao Gu, Han Lai
Using Chinese A-share non-financial firms (2018-2023), this study empirically shows that ESG performance, especially the environmental pillar, curbs corporate governance risk (irregularities, analyst forecast errors). High-quality disclosur…
Yuhao Gu, Han Lai
This paper explores how FinTech (blockchain, AI, big data) enhances green finance efficiency through environmental transparency, risk mitigation, and green innovation. Empirical results show blockchain improves disclosure authenticity, AI r…
Thanh Phuc Nguyen, Trang Thi Kieu Duong, Thi Nha Truc Phan
This study analyzes the asymmetric impacts of renewable energy, bank credit, and industrial robots on environmental sustainability (ecological footprint and GHG emissions) in the top five robot-installing countries (2011-2023) using panel q…
Andreas Poyias, Panayiotis Mourtopallas, Diamanto Platanou +3
This study develops a digital framework for optimizing green hydrogen integration in food industry steam production, which accounts for up to 57% of energy use. LightGBM models trained on PV and weather data achieve high forecasting accurac…
Chengjiang Li, Xiu Gu, Quande Qin +4
This study integrates dynamic life cycle assessment with system dynamics to evaluate 13 alternative marine fuels (e.g., ammonia, methanol, hydrogen, soybean biodiesel) for the Asia–Europe Green Shipping Corridor through 2050. Considering te…
C. Turhan, G. Durmuş, Mehmet Furkan Özbey +2
This study proposes a life-cycle carbon assessment framework for educational buildings, simulating seven retrofit scenarios for university buildings in Italy and Turkey. Psychological-adaptive HVAC control is most effective, achieving ~19.3…
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