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 922 papers
Wang Q.
This paper proposes a method using Particle Swarm Optimization to jointly optimize base station sleeping and renewable energy procurement, improving energy efficiency and integrating renewables in telecom networks.
Adamantia Stamou, Constantinos Varsos, George Darzanos +3
This paper analyzes the trade-offs in 6G and ICT ecosystems between service quality and energy/CO2 efficiency, proposing incentive mechanisms to align stakeholder behaviors. It illustrates cases for media streaming and AI services, highligh…
Abdullah Naser M. Asiri
This study proposes a unified framework integrating industrial waste-based low-carbon concrete development with machine-learning-driven strength prediction and optimization. Using fly ash and GGBS, 300 experimental observations were modeled…
Mehmet Akif Aydın, Gül Koçlar Oral
This study analyzes building envelope codes across climate zones, revealing inefficiencies in carbon emissions, energy use, and cost. It suggests future improvements to enhance building performance and reduce environmental impact.
Cem Emeksiz, Muhammed Musa Fındık
This paper analyzes energy loss mechanisms in photovoltaic systems and discusses assessment and mitigation approaches. It highlights the use of artificial intelligence and machine learning for loss prediction and fault detection, offering a…
GALVEZ PRP
This paper proposes a transferable design framework for energy geostructures (EGS) — foundation elements with ground heat exchangers — adapted from UK practice to the Peruvian Andes. It synthesizes UK thermo-mechanical design parameters and…
Saeed Akbari, Luis M. Camarinha-Matos, João Martins
This paper proposes an optimization method combining clustering and a stochastic hierarchical approach for energy management in net zero energy buildings (NZEB). It considers uncertainties in renewable generation and demand, enabling effici…
Quiteria Angulo-Ibáñez, Javier Cárcel-Carrasco, Fabiola Colmenero-Fonseca +1
This paper critically reviews the potential of mycelium, hygromorphic wood, and hemp as emerging natural materials for low-carbon construction, comparing them with conventional materials in specific applications. It reports that mycelium co…
Tian Y.
This study uses the ECAM tool to analyze GHG emissions and energy consumption across full-scale wastewater treatment plants, offering insights for improving energy efficiency and reducing emissions.
Wynes S.
This paper presents methods and empirical results for quantifying greenhouse gas emission reductions from behavioral interventions aimed at reducing driving, meat consumption, and household energy use. It provides evidence on the effectiven…
Variny M.
This paper proposes a method to reduce greenhouse gas emissions from oxygen production by improving compression heat management in a cryogenic air separation unit. The specific results are not provided, but it contributes to emissions reduc…
Sweetapple C.
This paper proposes a multi-objective optimization approach for controlling wastewater treatment plants to reduce greenhouse gas emissions. The optimization balances energy consumption and GHG emissions while maintaining treatment performan…
Abhilash B.L.
This paper explores how IoT technologies enable high-performance net zero energy buildings by optimizing energy consumption through sensors and smart controls, enhancing integration with renewable energy sources. It promises reduced operati…
Madathil D.
This paper proposes a heuristic optimization method to achieve net zero energy in residential buildings by balancing energy consumption and renewable energy generation for efficient design.
Mahapara Abbass, Sana Abass Wani, Arti Chouksey +1
This study develops lightweight panels reinforced with biochar and simulates their passive thermal regulation performance in smart buildings. It demonstrates the potential of low-carbon building materials to improve energy efficiency.
Feride Çiğdem Kara Dülger, Merve Tuna Kayılı
This study conducts a life cycle assessment of Turkey's first Passive House-certified building, the Gaziantep Ecological House, evaluating trade-offs between embodied carbon and operational energy efficiency for various wall materials. Bric…
Claudia Masselli, Sabrina Gargiulo, Vincenzo Orabona +3
This numerical study evaluates the energy performance enhancement from single-effect to multicaloric solid-state heat pumps, demonstrating potential carbon footprint reduction.
Ghayth Tintawi, Khuloud Ali, Mohamad Khaled Bassma
This study presents a tri-objective Pareto optimization of residential building envelopes in hot-arid climates (Riyadh and Dubai) using NSGA-II. It optimizes window-to-wall ratio, glazing, shading, and cooling setpoint to minimize annual en…
Alan Kabanshi
This review proposes reimagining residential buildings as adaptive climate-health-work systems. It synthesizes evidence on dwelling typologies, ventilation strategies, overheating, airborne infection resilience, and post-pandemic occupancy …
Tri Dung Dang, Hoang‐Kha Nguyen
This study develops an integrated decision-support framework combining CRITIC and CRADIS methods to assess energy efficiency and climate resilience across 10 ASEAN economies. Results show heterogeneity: Philippines leads, while Brunei, Mala…
Browse by Topic