gxceed
GX Research Hub · English

GX & Decarbonization Research

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.

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Topic: #Energy Efficiency (clear)

Showing 141–160 of 379 papers

📚 Peer-reviewed · ConferenceProceedings of International Conference on Applied Innovation in IT2025#Energy Efficiency

Reduction of the Carbon Footprint of Thermal Power Plants Through the Implementation of Energy-Efficient Technologies

Kamarova S.

This paper examines how energy-efficient technologies can reduce the carbon footprint of thermal power plants, analyzing specific options and their emission reduction potential to provide practical insights for decarbonizing existing plants…

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JournalAdvances in computational intelligence and robotics book series2026#Energy EfficiencyDOI

The Double-Edged Sword of Artificial Intelligence

E. Ivette Cota-Rivera, Guillermo M. Limón-Molina, Abelardo Mercado-Herrera +1

This article examines AI's dual role in increasing energy consumption while offering solutions for energy efficiency and sustainable energy transition. It analyzes the environmental impact of data centers and how AI can optimize resource ma…

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🌍 GlobalPreprintZenodo2026#Energy EfficiencyDOI

HYBRID CCO–SWO OPTIMIZATION FRAMEWORK FOR NET-ZERO SMART BUILDING ENERGY CONTROL

M. RAJKUMAR, Dr. V. GOKULA KRISHNAN, Dr. P. JESU JAYARIN, R. SENTHILKUMAR, Dr. KARNAM SREENU, Dr. S. KAVIARAAN

This paper proposes a hybrid metaheuristic optimization framework (CCO-SWO) for net-zero energy control in smart buildings. Simulation results show a 31.5% reduction in total energy consumption, 41.3% less grid reliance, and a high Net-Zero…

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🌍 GlobalPreprintZenodo2026#Energy EfficiencyDOI

Energy Curtailment And Data Centers: Technological Strategies For Consumption Optimization In Renewable Energy-Based Systems

Alcides, Feitosa Neto, Ana Karen, Silveira Pereira Caracas, Cleilson, Coutinho da Silva +14

This paper reviews technological strategies for optimizing energy consumption in data centers within renewable energy systems, focusing on energy curtailment. Through a qualitative literature review, it finds that AI, automation, and storag…

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Conference2026 16th International Conference on Power, Energy, and Electrical Engineering (CPEEE)2026#Energy EfficiencyDOI

Optimal Energy Scheduling of Green Commercial Buildings Under an Energy Internet

Cheng Kao, Yen-Ming Huang, Chun-Cheng Lin

This paper proposes an optimal energy scheduling approach for green commercial buildings under an Energy Internet framework, integrating renewable energy and demand response to reduce costs and carbon emissions.

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🌍 GlobalJournal2026#Energy EfficiencyDOI

AI-Driven Energy Efficiency

Robert Refvik

This paper reviews how AI enables businesses to manage energy more efficiently and reduce emissions. It discusses AI's role in forecasting renewable generation, automating distributed assets, and participating in energy markets. Real-world …

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ReportNet Zero Energy Buildings Nzeb Concepts Frameworks and Roadmap for Project Analysis and Implementation2018#Energy EfficiencyDOI

Net Zero Energy Buildings (NZEB): Concepts, frameworks and roadmap for project analysis and implementation

Attia S.

This paper reviews the concepts and frameworks of Net Zero Energy Buildings (NZEB) and provides a roadmap for project analysis and implementation. It offers practical guidance for improving energy efficiency and integrating renewable energy…

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