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 3321–3340 of 33989 papers
I. Verbytskyi, A. Blinov, Dimitri Vinnikov
This study assesses hydrogen as seasonal energy storage for RES-based residential power systems using real Estonian household data. Comparing daily and seasonal battery vs. hydrogen configurations techno-economically, it finds that reusing …
Wen-Qi Zhao, Kunpeng Liu
Using STIRPAT models on 281 Chinese cities (2008-2023), this study finds industrial robots cut total carbon emissions short-to-medium term but not long-term, while carbon intensity falls consistently. A rebound effect from firm scale expans…
Alassane Kaboré, Adélaide Lareba Ouédraogo, Kokou Prosper Semekonawo +3
A techno-economic assessment of a hybrid PV–BESS–green hydrogen system for a public building in Ouagadougou, Burkina Faso, simulated in MATLAB/Simulink. The 77 kWp PV array with battery and hydrogen storage achieves 98.7% self-sufficiency a…
Yu-Hua Tan, Jun-Qi Guan, Xiu-Yang An
This review classifies variable operating conditions in renewable-powered green hydrogen production and storage systems and clarifies how they affect efficiency, stability, and sustainability. It surveys mechanism-driven, data-driven, and h…
Hajar Bouayad, J. Sabor
A green hydrogen system combining PV, PEM electrolysis, pipeline storage, and fuel cells was designed for a hospital in Ouarzazate, Morocco. Particle swarm optimization sized components to meet 159 kg/day hydrogen demand, with an installati…
Rupali Gupta, Vijayashri Gurme
A conceptual study analyzing how corporate responsibility, visibility, and accountability interact, drawing on Stakeholder, Agency, Legitimacy, Institutional, and Triple Bottom Line theories. Using India's BRR and BRSR regimes, it identifie…
Melina Apriliani, D. Rahmatika, E. Yunita
Using consumer goods firms listed on the Indonesia Stock Exchange (2021-2025), this study examines how ESG disclosure, green accounting, and sustainability reporting affect financial performance, with firm size as a moderator. ESG disclosur…
Zuominyang Zhang, Qiu-Mei Li, Ke Huang
Using 21,879 Chinese A-share firm-year observations (2009–2021), the study examines within-firm links between digitalization and estimated carbon exposure (industry-year carbon intensity × revenue). Pooled OLS shows ~10.1% higher exposure p…
Jia-Wei Zhang, Han Wang, Ning Zhang +4
This paper proposes a day-ahead electricity price forecasting method integrating market boundary conditions and the electricity carbon footprint factor. It screens key features via Pearson, Spearman, and MIC, then applies a CNN-BiLSTM-Multi…
Bo Miao, Wan-Shui Yu, Jing Li +6
This paper proposes a joint electricity-carbon planning-operation optimization model for distribution networks with high-penetration renewables and storage. It amortizes construction costs to a daily scale and integrates intra-day schedulin…
Hao Yang
China's ETS requires emission allowances to be booked as intangible assets at historical cost, so balance sheets miss market prices and equity valuations are systematically biased downward. Using comparative cases of leading power and steel…
Pei-Zhe Yi, Yan-Jie Li, Peng Ma +2
This paper models strategic bidding by generation companies in a coupled electricity-carbon market using a non-cooperative game. Each firm maximizes profit under capacity, emission, and market-clearing constraints, converging to equilibrium…
Ying Zhou
Using CoinGecko market data, Google Trends, and energy/carbon estimates for major crypto assets (2019–2025), this study tests whether carbon intensity disclosure reshapes investor attention. High-carbon assets draw stronger abnormal search …
Kingsuk Majumdar, Sohini Ghosh
This study applies Random Forest, XGBoost, and SVM to a 65-country, five-sector EU ETS trade panel (2000–2018) to predict carbon leakage. XGBoost achieves R²=0.965 for embodied CO2 regression and ROC-AUC=0.765 for leakage classification, su…
Bing-Lin Yang, Ming Yang, Pei-Heng Qi +3
This paper builds a multi-agent Stackelberg game model for integrated energy systems, coupling a price-carbon dual-incentive demand response with a reward-penalty stepped carbon trading mechanism. An adaptive differential evolution algorith…
Jin-Xin Zhu, Guo-Feng Wang, Xin-Yan Wen +1
This paper proposes a carbon-accountable P2P trading framework for multi-microgrids that traces carbon responsibility through bilateral transactions rather than treating carbon as an external penalty. It combines a belief-aware Stackelberg …
D. Bałaga, Dariusz Czerniak, M. Siegmund +3
VAM utilisation feasibility depends not only on methane concentration but also on ventilation air quality, including dust. Using 155 dust measurements from 24 fan stations in Poland and Romania plus particle-size and composition analyses, m…
Ming-Ming Wang, Chun-Yao Song, Zhong-Lun Zhang +7
This study compares seven analytical methods for quantifying CO2 sequestration in steel slag, revealing up to a 36.3% spread (6.5–10.2 g CO2/100 g) across techniques. Discrepancies stem mainly from differing carbon pools, sample pre-treatme…
Neelam Gupta, Smita Goswami
This chapter reviews how AI—machine learning, NLP, computer vision, and blockchain—can address limitations in carbon accounting, emissions auditing, and corporate climate accountability. It argues AI enables >90% prediction accuracy, sub-ho…
Yi-Zhuo Li, Jia-Pan Li, An-Lin Shao
This study quantifies production concentration of ten key minerals across Belt and Road Initiative countries using 2023 USGS data, computing HHI, CR4, and CR8. Nickel, cobalt, and lithium show the strongest concentration, while iron ore, co…
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