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 421–440 of 4822 papers
Groen, Jort, Peekel, Arno, Yap, Min Hui
The EU REFORMERS project advances Renewable Energy Valleys (REVs) integrating renewables, storage, and hydrogen via digital twins. A three-level living lab pathway scales solutions from controlled testing (The Green Village) to system demon…
Chen, Yang
This repository provides analysis code, processed data and figures for a paper showing China's shift from pollution haven to decarbonisation supplier. It combines GLORIA v060 MR-SUT embodied-emission accounting (1990-2024), MEIC v2 pollutan…
Jorge do Vale, João F. P. Fernandes, Mário Monteiro Marques +1
This review examines hybrid and all-electric ship (AES) integrated onboard energy systems amid tightening maritime decarbonisation rules and energy-security concerns. It surveys international, EU and Portuguese policies, the shift from mech…
Jia Y.
This study presents a model for predicting gas production from fractured horizontal wells in deep coalbed methane (CBM) reservoirs. CBM sits at the intersection of fossil gas extraction and coal-mine methane recovery, a niche decarbonizatio…
Aviso K.B.
This paper proposes an optimization model for progressive industrial decarbonization, likely framing investment timing and technology sequencing as a mathematical optimization problem. Without an abstract, the target sectors, methods, and q…
Sen A.
This study examines how to design roadmaps for transitioning to net-zero emission value chains, using the chemical industry as a case. It focuses on pathway design and supply-chain-wide decarbonization, offering a framework for firms planni…
Schreyer F.
This paper argues for shifting the EU energy transition framing from 'net-zero' to 'zero-fossil', critiquing net-zero pathways that may rely on residual fossil fuels or offsets. It discusses the implications for EU energy system transformat…
Hadeer El Ashhab, Sai Srijan Papineni, M. Dorn +2
This study comparatively evaluates six deep learning models (state-space, MLP, RNN, Transformer-based) for electricity price forecasting across multiple market settings, establishing a reproducible benchmark framework. Using zero-shot, one-…
T. Zheliezna
This paper examines how Ukraine can decarbonize its transport sector by scaling up liquid and gaseous biofuels, drawing on EU Green Deal experience. It finds second-generation biofuels cut GHG emissions by 80-90% versus petroleum fuels, and…
Rui Huang, Lei Yao
This paper proposes a MILP model for joint dispatch optimization of nuclear, wind, and storage under China's carbon neutrality goals. Nuclear operation is modeled with three discrete power states, and green certificate revenues, load-follow…
Mehmet Rida Tur, Halil İbrahim Bülbül
A two-scenario model compares 70% vs 30% renewable generation at 100 TWh annual demand. The high-renewable case cuts emissions from 47.05 to 22.45 MtCO2e/yr but raises a supply-security risk index from 17.44 to 48.69. The authors argue deca…
Mengkun Xing, Yundi Liu, Qiang Wang
Using a super-efficiency SBM model, a modified gravity model, and social network analysis, this study measures low-carbon economy synergy efficiency across 271 Chinese prefecture-level cities (2008–2022) and maps their spatial association n…
Fuming Lei, Liuhui Meng, Zengfeng Yan +3
This study develops an integrated framework combining policy-related proxy indicators, Ridge–STIRPAT estimation, feasible scenario-space construction, sensitivity analysis, and stage-wise interval-constrained optimization for the building s…
Sharizal Ahmad Sobri, Raunak Bishwa Lohar, Waqas Umerdraz +4
This chapter examines sustainable corporate practices in the UK's net-zero transition across energy, manufacturing, and service sectors. Using the EN-ROADS simulator and statistical analysis, it quantifies sectoral emission reductions, rene…
Tahmina Akther Mim, Filipa Martinho, João Rodrigues dos Santos
Using Granger causality, DCCA and wavelet coherence for 2008–2023, this study examines how oil price uncertainty drives exchange-rate vulnerability in five Asian oil importers (China, India, Japan, South Korea, Thailand). Energy dependence …
FAKRA DAH, RANDRIANTSOA ANA, ANDRIAMANDROSO MN +2
This paper presents a forecasting approach integrated into SMARTEN v2, a computational platform for multiscale supervision of hybrid energy systems. It jointly forecasts renewable production and electricity consumption across building, dist…
Fan, Wei
A MATLAB code repository for reliability-oriented power system planning in China, comprising an integrated planning/operation model (RIPOM), a reliability assessment dispatch model (RADM), and a unit-level retirement model (ULRM). Solved vi…
Barre, Francis, Pastor-Vallés, Elisa, Ebrahimi, Babak +1
This study applies life cycle assessment to five net-zero technologies: wind, solar, batteries, hydrogen, and carbon capture. Wind and solar PV show lower per-kWh impacts than the European grid mix, while batteries benefit from higher effic…
Ghandi, Mahsa, Varela, Isabel, Hajian, Rozhin +1
This paper releases code, configuration, result tables, QA output and figures for a time-explicit, prospective and dynamic LCA comparing a geothermal energy network (GEN) with the distributed gas-and-oil system it replaces (REF) on an ident…
Dwijatmiko A.
A study modeling electricity supply scenarios for Indonesia's Jawa-Madura-Bali (JAMALI) grid to reach net zero emissions. It optimizes generation mix pathways and draws policy implications for decarbonizing a major emerging-economy power sy…
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