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 13641–13660 of 30108 papers
T. Kozlovskaya, V.V. Golovenskij, V.G. Tiahnii +2
Comprehensive analysis of environmental impacts from aircraft operations including CO2, NOx, noise. Hybrid-electric propulsion can reduce CO2 emissions by 30-50%. Proposes monitoring systems using digital twins and IoT for real-time control…
Md. Mizanur Rahman, D. Mondal, M. Islam +2
This study develops and evaluates a numerical model for a three-stage direct-indirect-direct (DID) evaporative cooling system. Simulations show it achieves deeper temperature reductions than single-stage coolers, delivering supply air up to…
Ali S. Aljumah, Mohammed H. Alqahtani, A. Shaheen +1
This paper proposes a Modified Newton-Raphson-Based Optimizer for optimal power flow with renewable photovoltaic sources. It adds adaptive crossover and sigmoid decay, tested on IEEE 30-bus system. Includes probabilistic OPF with solar unce…
Dana Golden, Aruna Balasubramanian, Niranjan Balasubramanian
This paper examines the effectiveness of renewable energy certificates (RECs) and power purchase agreements (PPAs) for data centers driven by AI demand growth. Using a game-theoretic model and difference-in-differences analysis with a novel…
Yannick Heiser, J. Kazempour, F. Pourahmadi
This paper proposes a predict-then-contextual-optimize framework for a power trader to engage in arbitrage between day-ahead and balancing electricity markets. It uses a probabilistic classifier to decide when to deviate from the power fore…
W. Mörbe, P. Yogeshwar, E. Hoffmann +1
This study applies drone-based semi-airborne electromagnetics (sAEM) to investigate a graphite deposit critical for renewable energy transition. Focusing on the Kropfmühl deposit in Bavaria, the method combines UAV magnetic field measuremen…
Umud Shokri
Amid the 2026 Iran War, the energy relationship between the GCC and Asia-Pacific is becoming dual-track: hydrocarbon interdependence persists while cooperation grows in renewables, hydrogen, ammonia, and transition finance. Using project-le…
Yue Lyu
This study proposes a neurocognitive-cultural entropy framework (LSF) to reconcile deep decarbonization with biocultural heritage preservation. By robotically replicating Ming-era masonry, it achieves minimal cultural entropy deviation (ΔH=…
Dina Qarashay, Farah Aldaghestani
This study examines the role of sustainable management in green retrofitting of existing buildings through a comparison of Jordan and Canada. Using literature review and case studies, it shows the energy and GHG reduction benefits of deep r…
Şamil Mehdi
This paper analyzes the current status and challenges of integrating green technologies in Azerbaijan's tourism industry. It examines renewable energy use, waste management, and ecological certification, identifying high initial investment …
Jan Niklas Lettner, Hadeer El Ashhab, V. Hagenmeyer +1
This paper compares task-specific ML models (NHITS+QRA, Normalizing Flow) with Time Series Foundation Models (Moirai, ChronosX) for day-ahead probabilistic electricity price forecasting in European bidding zones. TSFMs outperform in CRPS an…
Antonio Pesenti, A. O'Sullivan
This paper combines deep neural networks with explainable AI (XAI) to analyze electricity price drivers across 39 European bidding zones. Using SHAP, it finds that renewable energy (especially solar) plays a disproportionately important rol…
Peng Ji, Yiman Liu, Nan Li +1
This paper develops a bilevel optimization framework for nuclear power plants participating simultaneously in energy, reserve, and capacity markets. The model captures system operator welfare maximization and nuclear operator profit maximiz…
Edobot Udo Ekere, S. N. Chukwu
This empirical study examines the impact of various green finance forms on CO2 emissions in six West African countries. It finds that international clean energy funding and biodiversity conservation donations reduce emissions, while infrast…
J. Kean, A. O'Sullivan
European TSOs need accurate day-ahead wind forecasts for bidding zones. This study trains a deep neural network on 1.57 million hourly observations from 36 European BZs using ENTSO-E and Open-Meteo data, outperforming state-of-the-art TSO f…
Xin Zhao
This paper proposes a joint bidding model for multiple electricity markets (day-ahead, real-time, reserve, frequency regulation) under price limits, incorporating risk preferences. Using 17,520 hours of data from 4 trading zones, the method…
Francesca Curinga, Lorenzo Vitulano, A. Zani
This paper presents a modeling framework to assess the impact of alternative bidding behaviors on price formation in the Italian Day-Ahead Market (2023-2024), supporting a regulatory investigation. It focuses on strategic bidding by combine…
Haoyang Fan, Qi Huang, Zhenyuan Zhang +4
This study proposes tunnel transmission for renewable energy in mountainous regions, finding gas-insulated lines cost-effective where environmental costs are high. Multi-physics analysis and lifecycle cost assessment show optimized conducto…
Umair Khan, Shouwen Wang, Zhaohui Qin +4
This paper proposes the PODO model, a financial framework using Security Token Offerings (STOs) to enable fractional public investment in renewable energy and early capital recovery. Quantitative simulations using Korean power market data (…
Chenyu Su, Yixing Du, Anders Avelin +2
This study proposes four KPIs (NLRR, IRRE, FRM, IFI) to assess power system flexibility under high renewable penetration. Applied to Sweden's SE3 zone in 2024, results show high flexibility adequacy with limited ramping shortages (IRRE 0.03…
Browse by Topic