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 1–20 of 50 papers
Ma, Minghui, Valdiserri, Paolo, Ballerini, Vincenzo +2
This study proposes a deep learning framework to predict building heat load for a single apartment in Bologna using previous 24h data. Optuna optimizes hyperparameters for LSTM, TCN, MLP, XGBoost, and LR; LSTM performs best. Physics-constra…
Bhuvaneshwar Doorgakant, Tulsi Pawan Fowdur
This chapter provides a comprehensive overview and derivation of power consumption modeling for 6G networks, covering terrestrial and non-terrestrial segments. It proposes analytical frameworks with mathematical formulations and empirical r…
Valero A
This systematic review traces the co-evolution of Occupancy Planning Management (OPM) technologies from 1980s CAD to AI-enabled autonomous control, analyzing why technical capability often fails to translate into energy performance gains. I…
Mehta, Kedar
This conceptual review proposes autonomous building envelopes integrating AI, sensors, and adaptive facades for climate-responsive urban buildings. AI-enabled predictive control can reduce heating and cooling demand by 10-30%. It highlights…
BuildOn project
This policy brief examines the potential of smart technologies in Europe's building stock to accelerate decarbonization, energy efficiency, and occupant wellbeing. It argues that digitalizing energy management is crucial for meeting climate…
Arini Evadillah, Erin Nurul Pajriyah, Arif Hermawan +3
A bibliometric analysis of energy efficiency research in Asian vertical farming, examining 142 Scopus articles (2020-2025). Identifies five thematic clusters and reveals a shift from technical optimization to AI-based precision, highlightin…
Cristian Cuji, Luis Tipán, Jorge Muñoz +2
This study proposes a reproducible unit-level methodology to transform field data from smart lighting installations into indicators of electrical performance, energy efficiency, avoided emissions, and economic benefit. Results show that man…
Paolo Bertoldi
Energy efficiency is the most cost-effective way to cut emissions, yet a large investment gap persists. This paper analyzes barriers (small fragmented projects, lender risk aversion, split incentives) and examines instruments from public su…
Jie Chen, Xudong Yin, Tianbo Zhou +3
This review comprehensively covers multiscale structural engineering of smart textiles for personal thermal management. By integrating material properties to fabric topology, it enables dynamic control of heat transfer, reducing reliance on…
Michael Bane
This study shows that carbon-intensity-based scheduling of computation in time and space yields far greater emission reductions than code-level optimizations. For matrix operations, implementation choices achieve 51x energy savings, and shi…
R. Zhao, Yu Zhang, J. Cao +3
This study develops a carbon flow traceability model for waste feed resource utilization equipment, proposing moisture-based load-following control and a multi-machine energy efficiency redistribution strategy. Experiments show 20% energy r…
M. Zhang
This study optimizes the combination of U-value and solar heat gain coefficient (SHGC) for plastic doors and windows in ultra-low energy buildings in frigid regions. Using a genetic algorithm and weighted entropy method within a multi-objec…
X. Y. Xu, S. N. Sun, X. G. Zhao
This study constructs a dynamic cost control model for green buildings enabled by low-carbon technology, integrating system dynamics and BP neural networks to improve prediction accuracy. Empirical validation shows a reduction in design-sta…
P. Florio, J. H. Uhl, P. Politis +4
Using building compactness and construction epoch as proxies, this study assesses global building energy efficiency and identifies vulnerable areas home to 48 million people, potentially increasing by 10-30% by 2100. It reveals stark dispar…
May Zune
This study evaluates the decarbonization impact of building retrofits, using data from COMMSENG-25-0286. It examines what retrofits should target to maximize energy efficiency and emissions reduction, offering insights for policy and invest…
Linglufei Zhang
This study focuses on thermal comfort and low-carbon design in residential buildings, proposing strategies to reduce energy consumption while improving comfort through analysis of indoor thermal energy cycles. A thermal airflow organization…
Huajian Lu, Qifan Xu
This study proposes a surrogate optimization method for low-carbon retrofit of existing buildings, focusing on vulnerable older occupants. It quantifies energy-comfort trade-offs and identifies radiative cold-discomfort limits, highlighting…
Emmanuel Uche, Kingsley I. Okere
Using data from 14 emerging Asian economies (2000-2023), this study analyzes the effects of green building investment and energy efficiency on eco-innovation and energy rebound. It finds that energy efficiency is the primary driver of rebou…
Gizem Nur Bulanık Durmuş
This study evaluates active and passive retrofit strategies for a university building in Ankara using dynamic simulations and real operational data. PV integration reduces grid electricity by 89.76%, while Trombe wall offers highest energy …
Yue Wang, Xinyi Zhao, Guohao Sun +3
Analyzing measured data from 530 public building retrofit projects across 11 Chinese provinces, this study quantifies realized energy savings and cost-effectiveness. Mean energy use intensity decreased by 19.1%, with 99.2% of projects achie…
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