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 81–100 of 4822 papers
Michelangelo Misuraca, Maria Spano, Luca D’Aniello
Analyzing 537,953 Reddit comments from 2025 with ThemeScope (community detection plus two-dimensional mapping of structural salience and lexical concreteness), this study maps the symbolic architecture of climate discourse. Energy Transitio…
Nehir Balcı, Mesut Doğan
This study examines whether financial development drives the U.S. renewable energy transition, disaggregating geothermal, solar, wind, and biomass consumption. Using monthly data from January 1989 to May 2025 and a Quantile-on-Quantile ARDL…
Ben Radley
Rwanda and PNG began with similarly low electrification but diverged sharply over 25 years: Rwanda achieved one of history's fastest electrification programmes while PNG stagnated. Decisive factors were contrasting statecraft and ideational…
Andreotti D, Spiller M, Rancilio G +1
As DERs and decarbonization-driven loads grow, DSOs need proactive MV/LV network management. This paper proposes a hierarchical forecasting framework combining secondary substation (SS) predictions with aggregated connection-point forecasts…
Cosic, Said, Ivanov, Chavdar, Subramanian, Medha +22
This HVDC-WISE deliverable consolidates recommendations on planning methodologies and tool requirements for multi-terminal and hybrid AC/DC transmission grids. It argues that conventional AC-based planning must be extended to capture conver…
Antonio Clareti Pereira
Electric-furnace elemental phosphorus and thermal phosphoric acid production is among the most energy- and carbon-intensive chemical-metallurgical routes, yet remains strategically relevant where high-purity P₄ is required. This critical re…
Mujahid Iqbal
This work examines U.S. industrial strategy around critical minerals through three lenses: resource security, environmental justice, and the contradictions of decarbonization. It likely probes the trade-off between securing minerals essenti…
Reza Sepehrzad, Hossein Hosseinalibeiki, Zahra Yousefi +2
This paper examines intelligent cyber-physical systems (CPS) as enablers of deep decarbonization in modern energy networks. It argues that integrating AI, sensing, and control supports grid stability and optimization under high renewable pe…
Lilian Lefol Nani Guarieiro, Geise Camila de Araujo Ribeiro, Thiago Barros Murari +8
This chapter reviews renewable oxygenated fuels—ethanol, biodiesel, and DME—as pathways to decarbonize compression ignition engines. It compares how molecular structure and physicochemical properties affect ignition delay, heat release, the…
Amaripadath D.
This work examines how plug-in battery energy storage systems can enable low-carbon electricity operations in net zero energy residential buildings. By raising self-consumption of rooftop solar and cutting grid imports, such storage support…
Zhou Y.
This work addresses the construction and demonstration of net-zero industrial parks, aiming to show decarbonization pathways for industrial clusters via renewable energy and energy integration. No abstract is available, so the region, metho…
Zipeng Liang, C. Chung, X. Yin +3
This paper proposes an energy management framework for hybrid microgrids integrating renewables, hydrogen storage, and EVs. It combines a data-correlated uncertainty set with a semi-convex relaxation to handle non-convex constraints and RES…
Muhammad Rasool Al‐Kilani, Khalid Bani‐Melhem, Haitham Elnakar +7
This study couples bench-scale electrocoagulation (EC) experiments on greywater with a screening life-cycle carbon assessment for Al and Fe electrodes at 0.1–0.3 A. COD removal rose from ~68% to ~96% with current, but GWP increased from 0.3…
Amir Mohammadian, Abdolmajid Dejamkhooy, SeyedJalal SeyedShenava +2
This study develops a bi-level scheduling framework for urban integrated energy systems where a cluster coordinator allocates a mobile energy storage logistics fleet, inter-system transfers, carbon trading, and green-certificate transaction…
Mahmoud Kiannejad Amiri, Mohammad Moosazadeh, Usama Ali +2
This study assesses the regional technoeconomics and life-cycle carbon emissions of producing power-to-liquid sustainable aviation fuel (SAF) from direct air capture (DAC) CO2 and renewable hydrogen. It highlights how costs and carbon-reduc…
Lin Zhu, Xiaoqing Ji, Dechang Yang +3
This paper proposes a physics- and semantics-guided large language model (LLM) for zero-shot load forecasting in low-carbon integrated agricultural energy systems. It aims to enable accurate demand prediction in data-scarce agricultural ene…
Xiaoshun Zhang, Jiapan Di, Zhengxun Guo +1
This study formulates a bi-objective Pareto optimization for low-carbon automatic demand response (ADR) in energy-intensive enterprises that explicitly incorporates users' electricity consumption habits and behaviors. It addresses the trade…
Jijun Shui, Ershun Du, Qin Wang +1
This work proposes a non-iterative optimal dispatch method coordinating a distribution system with microgrids, using a power-cost-emissions equivalent projection. It avoids iterative computation while balancing grid operation and emissions …
Shuyu Wang, Tian Chen, Yangzixian Yang +1
Using 108 communities in Beijing's Fengtai District, this study examines how neighborhood built-environment attributes relate to residents' travel-related carbon emissions. Combining hierarchical regression, subgroup regression, and random …
Xiaoming Wang, Jinjin Ding, Wenguang Zhao +1
This paper proposes a low-carbon optimal scheduling method for integrated energy systems (IESs) integrating ice-storage air conditioning and vehicle-to-grid (V2G) interaction of EVs and hydrogen vehicles. Monte Carlo sampling of 1000 EVs an…
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