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 17541–17560 of 31467 papers
Bin Li, Weilong Yang
This paper develops an AI framework combining symbolic regression, reinforcement learning, and LLMs to optimize photothermal performance of low-carbon building materials. The method is validated in urban microclimate simulations, showing si…
Xiaoying Xu, Xinxin Tian
This study empirically examines the impact of Yangtze River Delta (YRD) regional integration on the green and low-carbon development (GLD) efficiency of cities using a multi-period DID model. Results show that YRD integration significantly …
Sri Mariati, Doni Muhardiansyah, Saptarini Wulan +1
This study quantifies the CO2 emission reduction from transitioning internal combustion engine vehicles to battery electric vehicles at Indonesia's Taman Mini Indonesia Indah (TMII) cultural tourism site. Using IPCC guidelines, it finds a 9…
Minsu Kim, Jinhyun Park, Oju Kwon +2
This study proposes using activated carbon pores as growth templates to fabricate thermoelectric films with low thermal conductivity, aiming at waste heat recovery applications.
Q Wang, Aihong Tang, Hanbing Yang +1
This paper proposes a shared flow battery energy storage system for low-carbon multi-port integrated energy systems, aiming to reduce carbon emissions and improve system efficiency.
Cheng Feng, Fengqi You
This dataset supports the study showing that existing hydropower can provide firm low-carbon capacity for datacenters. It includes SWAT+ models for 81 global regions, machine-learning streamflow predictions using LSTM-Transformer, and a dat…
Mari Haugen, Viviane Aubin, Arild Helseth +1
This paper proposes robust hydropower scheduling methods to ensure energy security in low-carbon power systems. By incorporating uncertainty, the model enhances renewable energy integration and maintains grid stability. The findings contrib…
Yitian Ren, Hao Wang, Bing Chen +2
This study establishes a holistic evaluation framework for community-level low-carbon performance, integrating hardware dimensions (building energy efficiency, equipment upgrading, technology adoption) and software dimensions (community gov…
Wei Zhang, Xiwu Hu
This study develops a regionalized well-to-wheel assessment for six provincial electricity-hydrogen-bus systems in Northwest China. Using GREET pathway intensities and LMDI decomposition, it shows fleet-level GHG reductions from 9.86% to 73…
Ahmed Ragab, Mohamed Ebeed, Ahmed Refai +3
This paper uses particle swarm optimization to manage smart multi-carrier energy hubs, minimizing costs and emissions. Integrating renewables and a carbon capture unit reduces total costs by 64.12% and CO2 emissions by 72.57%.
Xuanhao Tang, Pengkun Sun, Fengze Xie +2
This paper proposes a day-ahead dispatch model that couples probabilistic carbon emission flow with dynamic electricity pricing. Using the cumulant method, it probabilistically quantifies carbon emissions on the load side. A carbon-electric…
R R Pangestu, D Larasati, Aswin Indraprastha
This study examines public preference for timber in Indonesian homes via a quantitative survey. Timber is most favored in social and semi-public spaces, with Generation Z showing the highest adoption propensity. Two consumer segments (mass-…
Xinyu Tian, W L Zhang
This study uses exploratory factor analysis and relative importance index to identify six pathways through which policies affect low-carbon building projects in China. The top pathway is 'top-level design and technology development' with an…
L. Yu
This paper theoretically examines the role of digital literacy in enabling low-carbon consumption transitions in developing countries. It argues that digital literacy improves consumers' access to information about sustainable products and …
Anna Rogozińska‐Pawełczyk, Maksymilian Czuk
This study examines how carbon anxiety and regulatory pressure affect employee green behavior (EGB) via psychological contract fulfillment for the environment (PCFE), using survey data from 857 Polish energy sector employees. Pro-environmen…
Navya, Sapatarshi Poddar, Upasna Ranjan
This paper provides a sectoral analysis of India's low-carbon transition, highlighting progress and challenges in energy transformation and suggesting promising policy and investment directions.
Carbon Trust Carbon Trust
This study develops a comprehensive framework for assessing and implementing coal-fired power plant (CFPP) transition pathways in Malaysia, covering policy, financial, and just transition dimensions. It provides a step-by-step approach to p…
Kaiqiang Gu, Yi Yang, Shixiang Su +2
This study uses the WRF-VPRM model to simulate atmospheric CO2 responses over China under baseline (2016), carbon peaking (2030), and carbon neutrality (2060) scenarios. It quantifies the contributions of anthropogenic emissions and biosphe…
Claudia Stanszus, Andrea Agner, Doris Österreicher
This paper develops energy-efficient retrofit strategies for post-war high-rise buildings, using Stuttgart's Asemwald estate as a case study. Through thermal bridge calculations and energy simulations, it demonstrates up to 60% reduction in…
Baojun Yang, Zhuo Liu, Xiaolin Li
This study examines how carbon neutrality policies influence green brand performance in China's agricultural sector, using survey data and mixed methods (PLS-SEM, NCA, fsQCA). It finds that the impact is fully mediated by network embeddedne…
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