This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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 341–350 of 350 papers
Xidi Shang, Wuliang Yin, Jianxin Pan +4
This paper reviews advances in AI applications for low-carbon metallurgy in the steel industry. AI contributes to process optimization, emission reduction, and energy efficiency, supporting material transition. Steel decarbonization is a gl…
Yingfeng Wei, Hui Chen, Ye Tian +9
This study proposes a hybrid forecasting framework integrating VMD-SE, Transformer, and BiLSTM, optimized by QPSO, for short-term air conditioning load in industrial buildings. Validated on real datasets from Hubei, China, the model achieve…
脱炭素化水運用のためのポンプ最適運転計画
(著者不明)
This paper proposes an optimal pump operation planning method for decarbonized water management, aiming to reduce energy consumption and CO2 emissions. It contributes to sustainable water management in the context of a decarbonized society.
熊本市上下水道事業における持続可能な脱炭素社会の実現に向けた多面的な取組検討
(著者不明)
This paper examines multifaceted efforts for achieving a decarbonized society in Kumamoto City's water and sewerage services, analyzing specific measures such as energy efficiency and renewable energy integration, and exploring sustainable …
カーボンニュートラルに向けた需要家サイドの取り組みの高度化
(著者不明)
This paper discusses the enhancement of demand-side initiatives towards carbon neutrality, covering strategies such as energy efficiency, electrification, and demand response, along with policy implications.
地域特性を考慮した家庭における温室効果ガス削減対策の評価
(著者不明)
This paper evaluates greenhouse gas reduction measures in Japanese households, considering regional differences in climate, energy infrastructure, and lifestyle. It analyzes the effectiveness of various measures by region, offering insights…
送水圧力の低減及び水運用の最適化による温室効果ガス排出量の削減
(著者不明)
This paper examines methods to reduce greenhouse gas emissions in water supply systems by lowering water pressure and optimizing operations. It quantifies the reduction in pump electricity consumption and evaluates synergies with operationa…
(著者不明)
This paper proposes an integrated approach to improve urban energy efficiency by combining spatial analysis (GIS mapping, regression) with policy interventions. Using cases from Kerala (India), Loures (Portugal), and Iran, it identifies hig…
Hoyas Sergio, Vinuesa Ricardo
This paper quantifies the global emission reduction potential from turbulence-informed design, estimating up to 6 GtCO2-eq per year (10% of global emissions). It highlights that turbulence-related inefficiencies in transport, energy convers…
Kshitij Bhatta, Muhammad Waseem, Mingzhe Liu +3
This paper proposes a digital twin framework for wood drying in desiccant-assisted heat pump (DAHP) systems. Combining high-fidelity physics models with multi-agent reinforcement learning (MARL), it reduces total energy consumption by 43.2%…
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