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 441–460 of 1881 papers
Napiontek, Jakob, Pichler, Peter-Paul
This paper presents SynPop-DE, a synthetic population dataset of 40 million German households with 34 attributes, generated using a two-stage machine learning architecture (autoencoder + GAN) and calibrated to 2022 census data. It supports …
Fearon, Seán
Data centres consumed 22% of Irish electricity by 2023. Their constant, inflexible demand, combined with gas-fired power dependence, raised wholesale prices. The average household incurred an extra €360 cumulatively from 2015-2023. Future s…
Kourosh Vafi
This white paper reviews historical energy and emissions data, showing that despite decades of climate policies, fossil fuels still account for 87% of global energy in 2024 and emissions continue to rise. It argues that current transition r…
Richard B Luhulima, Fella Gaspers, Gerald Richard Latuhihin +1
This study uses CFD to analyze Flettner rotor performance on a feeder ship in low-wind tropical conditions (3–6 m/s) off Maluku, Indonesia. Results show stable aerodynamic efficiency (CL/CD~2.4) and power reduction of 9.3–29.1%, equivalent …
Ngoc Huong Vu, Giang, Lo Giudice, Camilla, Kumar Pinayur Kannan, Shravan +1
This supplementary material provides data and methods for integrating techno-economic optimization and energy equity metrics in Viet Nam's energy transition plan. It includes OSeMOSYS model inputs, LCOE/energy burden calculations, MCDA anal…
ANJALI CHAUDHARY, Nisa Vinodkumar, Sayeda Meharunisa +4
This study analyzes AI-optimized biofuel production on degraded lands, based on 152 studies and international datasets. It finds that AI can recover 75-94% of prime-land yields, sequester CO2, and integrate green finance instruments like gr…
Nechaieva T, Derii V, Zaporozhets A +1
This study develops a long-term generation capacity expansion model integrating Power-to-Heat (PtH) and district heating systems to mitigate renewable curtailment. Applied to Ukraine's power system through 2040, results show that PtH electr…
ALTUN BE
This systematic review examines AI-based optimal power flow (OPF) methods under renewable uncertainty. AI approaches show advantages in computational efficiency, scalability, and adaptability over traditional optimization, but face challeng…
Diachenko G, Laktionov I, Fainshtein D
This paper provides a system-level integrative review of intelligent operational and architectural foundations for IoT-enabled Smart Grids. It analyzes data-driven, model-driven, knowledge-driven, agent-based, and hybrid-oriented paradigms,…
Mehrotra, Aditya, Ramirez, Ilian, Roehrich, Brian +3
This paper presents the Energy Hardware Bench (EHB), a set of open-source lab-scale scientific hardware for key energy transition research areas including electrochemistry, materials characterization, and power electronics. EHB provides fre…
Latrache, Firyal, Jbira, Najwa, Saidi Hassani Alaoui, Mohamed +3
This paper explores opportunities and perspectives for implementing smart energy transition by 2050. Although no abstract is available, the title suggests strategic insights into long-term decarbonization pathways.
Huong Le
This study examines how perceptions of fairness influence public support for energy transition policies in Alberta, Canada. Findings indicate that both procedural and distributive fairness are key determinants of support.
Zsombor Sztyehlik
This study analyzes the relationship between surface temperature and electricity demand in Hungary's Kisalföld region using data from 1970-2024 and projects future demand under IPCC AR6 scenarios. Cooling degree days have tripled, and altho…
Yang Tao¹, Li Changxing¹, Ye Huayang¹ +4
This paper proposes a data-driven dynamic evaluation system for green and low-carbon innovative technologies. Using data from Chinese power enterprises, it demonstrates the system's effectiveness in assessing technology performance and guid…
Al-Tabbaa A.
This paper discusses decarbonisation, digitalisation, and environmental responsibility in future pavement technologies. It likely proposes new approaches for sustainable infrastructure.
Wessels B.
This paper conceptualizes net-zero homes as localities integrating households, neighborhoods, and natural environments. It emphasizes a holistic approach to energy and environmental design at the community level rather than focusing solely …
Sartini, Beniamino, Romagnoli, Silvia
This paper provides a replication package for estimating stochastic solar radiation and electricity price models, simulating joint scenarios, and computing optimal hedging strategies. It includes data, R scripts, figures, and environment fi…
Elmurodov Shohzod Shavkatovich
This paper examines Uzbekistan's green economy transition, highlighting opportunities such as renewable energy development and green jobs, while noting challenges like water scarcity and investment costs. Policy recommendations include stro…
Magnaval, Gabriel, Corre, Soline, Mouhoub, Maël +2
This study introduces a Demand-Side Decomposition Analysis framework that integrates demand-side mitigation into life cycle assessment of the automobile value chain. Applied to Swiss terrestrial mobility, it reveals that current technology-…
Vidović T, Radica G, Pivac N +1
This review examines hybrid propulsion for maritime decarbonization. Optimized energy management reduces fuel and emissions, but the Equivalent Consumption Minimization Strategy (ECMS) is underdeveloped for maritime use. Co-optimization of …
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