Optimization of MXene-based aqueous ionic liquids for solar systems using conventional and AI-based techniques by Mohamed Bechir Ben Hamida, Ali B. M. Ali, Narinderjit Singh Sawaran Singh, Loghman Mostafa

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Decarbonizing Near-Zero-Energy Buildings to Zero-Emission Buildings: A Holistic Life Cycle Approach to Minimize Embodied and Operational Emissions Through Circular Economy Strategi... by Amalia Palomar-Torres, Javier M. Rey-Hernández, Alberto Rey-Hernández, Francisco J. Rey-Martínez

“…A comparative analysis of three energy-efficiency scenarios demonstrates the IndUVa building’s exceptional performance, achieving energy demand reductions of 78.4% and 85.6% compared to the ASHRAE and CTE benchmarks, respectively. …”
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Greenhouse cooling systems: A systematic review of research trends, challenges, and recommendations for improving sustainability by Fatima Ezzahra Allali, Hicham Fatnassi, Hassan Demrati, Reda Errais, Ahmed Wifaya, Ahmed Aharoune

“…Despite numerous review studies on greenhouse cooling systems, there is a notable lack of comprehensive, actionable recommendations for incorporating renewable energy sources, improving energy efficiency, and minimizing water usage within SGCS. …”
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AI beyond efficiency, navigating the rebound effect in AI-driven sustainable development by David Mhlanga

“…This research explores the dualistic impact of AI on sustainable development and provides a comprehensive analysis of its influence on energy consumption patterns and broader implications for sustainability goals. …”
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Efforts to Reduce Carbon Footprint of Dokuz Eylül University Tınaztepe Campus in İzmir, Türkiye by Elif Duyuşen Kokulu, Eylül Ceren Özyürek

“…These recommendations include measures such as increasing energy efficiency, adopting more sustainable transportation methods, and reducing water consumption. …”
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The Global Electricity Grid: A Comprehensive Review by Bimal Kumar Dora, Sunil Bhat, Arghya Mitra, Damien Ernst, Adrian Halinka, Daria Zychma, Pawel Sowa

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A risk-based approach to reduction of warm air infiltration for energy efficiency optimization in a cold storage system-a case study of a fruit packaging plant by Peter Kibagendi Mokaya, James Wakiru, Josephat Tanui

“…To operate fruit cold storages optimally and efficiently, facilities management must comprehensively understand the sources of temperature variations and adopt mitigation strategies that minimize warm air infiltration. …”
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Comprehensive study on cooling effectiveness and thermoelectric conversion of a novel helium/hydrogen-based closed Brayton cooling system for a hydrogen aero-engine by Qiurui Xin, Xiaohui Bai, Helong Jin, Chengao Duan, Yuxi Li, Cunliang Liu

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Optimal Determining Air Supply Humidity for Multi-Location Demands Under Different Objectives in an Indoor Moisture Environment: A Comprehensive Method and Case Study by Xiaojun Ma, Shuchen Yu, Xiaoliang Shao, Jiujiu Chen

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Application and reflections on efficient development of deep oil and gas reservoirs in Tarim Basin by HU Wenge, MA Longjie, WANG Yan, BAO Dian, ZHANG Yun

“…These strategies offer valuable suggestions towards achieving efficient development of deep to ultra-deep carbonate reservoirs and ensuring national energy security.…”
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Eco-friendly combined heating and cooling system integrated with solar photovoltaic and energy storage: Thermodynamic performance and carbon emission evaluation by Xianzhen Ruan, Zhiping Song, Bo Feng, Changbo Peng, Chao Dang, Shandong Xie, Baomin Dai

“…From the perspective of energy conversion efficiency and emission performance, the use of solar and energy storage technologies can considerably improve the comprehensive performance of environmentally friendly combined heating and cooling system.…”
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Optimizing thermal design for sustainable renewable energy in a novel low-temperature desalination-power cycle by Mahmoud Magdy, Ahmed Hamed, Mostafa Rizk

“…Abstract The escalating global demand for freshwater and clean energy necessitates innovative co-generation solutions. …”
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The Integration of Thermal Energy Storage Within Metal Hydride Systems: A Comprehensive Review by Matias Davis Cortina, Manuel Romero de Terreros Aramburu, Andre Martins Neves, Lourdes Hurtado, Julian Jepsen, Ulrich Ulmer

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A synergistic approach using digital twins and statistical machine learning for intelligent residential energy modelling by Ahmad Almadhor, Shtwai Alsubai, Natalia Kryvinska, Nejib Ghazouani, Belgacem Bouallegue, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…Abstract The growing need for energy efficiency in buildings has driven significant improvements in digitalisation and intelligent energy management. …”
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AI-ML techniques for green hydrogen: A comprehensive review by Mamta Motiramani, Priyanshi Solanki, Vidhi Patel, Tamanna Talreja, Nainsiben Patel, Divya Chauhan, Alok Kumar Singh

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Economic Efficiency of Sustainable Public Transport: A Literature Review on Electric and Diesel Buses by Aleksander Jagiełło

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Balancing Productivity and Sustainability in EDM: A Comprehensive Analysis of Energy Consumption and Electrode Degradation by Sunil Kumar Maurya, Gianni Campatelli, Massimo Veracini, Massimo Arcioni, Dario Clori

“…Utilizing an advanced experimental setup with real-time energy monitoring, this study investigated the trade-off between machining parameters, energy efficiency, and electrode wear. …”
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Optimizing Secure and Efficient Data Aggregation in IoMT Using NSGA-II by Maria Zuraiz, Muhammad Javed, Nasim Abbas, Waseem Abbass, Waqas Nawaz, Ashfaq Hussain Farooqi

“…The Internet of Medical Things (IoMT) enables real-time healthcare monitoring but faces challenges in energy efficiency, latency, security, and scalability. …”
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Enhancing Coverage and Efficiency in Wireless Sensor Networks: A Review of Optimization Techniques by Rajasekaran S, Shaik Mastan Vali

“…Ultimately, this paper contributes to the ongoing efforts to develop more adaptive, scalable, and energy-efficient solutions for WSN coverage optimization.…”
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Hyperdimensional Intelligent Sensing for Efficient Real-Time Audio Processing on Extreme Edge by Sanggeon Yun, Ryozo Masukawa, Hanning Chen, Sungheon Jeong, Wenjun Huang, Arghavan Rezvani, Minhyoung Na, Yoshiki Yamaguchi, Mohsen Imani

“…Utilizing a Fast Fourier Transform (FFT) module, convolutional neural network (CNN) layers, and HyperDimensional Computing (HDC), our model excels in low-energy, rapid inference, and online learning. It is highly adaptable for efficient ASIC design implementation, offering superior energy efficiency compared to conventional embedded CPUs or GPUs, and is compatible with the trend of shrinking microphone sensor sizes. …”
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