Advances in Porous Structure Design for Enhanced Piezoelectric and Triboelectric Nanogenerators: A Comprehensive Review by Zhassulan Turar, Merey Sembay, Assem Mubarak, Ayaulym Belgibayeva, Long Kong, Gulnur Kalimuldina

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Surface-enhanced light harvesting over MOF-derived porous ZnO films for highly efficient QDs-based photoelectrochemical hydrogen generation by Yi Tao, Zikun Tang, Linjie Xie, Xiaolan Xu, Wei Zhao, Wenxuan Xu, Dequan Bao, Yihong Zhong, Zhenqiu Gao, Zhen Wen, Kanghong Wang, Hao Zhang, Xuhui Sun

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Comprehensive assessment of voltage and current source PV‐based modular multilevel converters by Marzio Barresi, Luigi Piegari, Riccardo Scalabrin

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Exploring Virtual Machine Scheduling Algorithms: A Meta-Analysis by Salman Mahmood, Nor Adnan Yahaya

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A comprehensive review on deep learning applications in advancing biodiesel feedstock selection and production processes by Olugbenga Akande, Jude A. Okolie, Richard Kimera, Chukwuma C. Ogbaga

“…By leveraging this capability, ANNs can significantly advance biodiesel research, producing more sustainable and efficient feedstock production. The study concludes by highlighting the substantial potential of ANN modeling in contributing to renewable energy strategies and expanding biodiesel research, underscoring its vital role in accelerating the development of biodiesel as a sustainable fuel alternative.…”
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The Optimal Choice of Semiconductor Converter to Increase Power and Efficiency in Betavoltaic Batteries with 3H, 63Ni, and 147Pm Beta Sources by D. Ghasemabadi, H. Zaki Dizaji, M Abdollahzade

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Inclusive land ecological benefits: assessing the eco-efficiency returns of China’s green industrial policy based on a quasi-natural experiment by Yarong Li, Xinyou Xiao, Jiani Chen, Chunlei Huang

“…This study uses panel data from 287 prefecture-level cities in China over the period 2007–2022 and employs a multi-period difference-in-differences (DID) framework, leveraging the quasi-natural experiment provided by the “Comprehensive Demonstration Cities for Energy Saving and Emission Reduction” pilot program, to investigate the impact of green industrial policy on urban land use eco-efficiency (ULUEE). …”
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Enhancing efficiency of a laboratory-scale hybrid cooling tower using Fe3O4-water nanofluid and spiral coils by Danial Fallah Heravi, Hamid Reza Goshayeshi, Reza Saleh

“…This work not only introduces a novel cooling tower design but also demonstrates the potential of nanofluids to significantly boost cooling efficiency in various industrial applications.By optimizing heat transfer performance through advanced fluid and geometric configurations, this study provides a comprehensive framework for future innovations in energy-efficient cooling technologies.Looking ahead, the research offers promising avenues for further exploration, such as optimizing nanofluid compositions, testing different nanomaterials or hybrid fluids, and exploring alternative tower configurations. …”
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Optimizing high voltage gain interleaved boost converters for PV and wind systems using hybrid deep learning with bitterling fish and secretary bird algorithms by G.Veera Sankara Reddy, S. Vijayaraj

“…The integration of renewable energy sources such as photovoltaic (PV) and wind systems demands high-efficiency, high-voltage gain power conversion architectures. …”
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Multi-Objective Optimization of Daylighting–Thermal Performance in Cold-Region University Library Atriums: A Parametric Design Approach by Yunong Gao, Shuting Zhao, Yong Huang, Hui Pan

“…The experimental results show that the quality and energy efficiency of the atrium light environment are improved after parameter optimization. …”
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Utilizing a novel metal-organic framework for clean water production: Synergistic evaporation boost in double slope distiller by Swellam W. Sharshir, Mosaad R. Sharaby, Ahmed A. El-Naggar, Lotfy A. Lotfy, M. Ismail, Areej Al Bahir, N.S. Abd EL-Gawaad, M.O.A. El-Samadony, Sung-Hwan Jang, Zhanhui Yuan, Hany Koheil

“…Performance results showed notable improvements. Energy efficiency increased significantly, with Case III improving by 103 %, Case II by 82.3 %, and Case I by 53.3 %. …”
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Development Path of World-Class Marine Ports in China by Xinping Yan, Min Tu, Jiaqi Yang, Haoran Xu, Tongxia Zhang

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Bridging the implementation gap for climate mitigation in ASEAN: a comprehensive capacity-building framework by Emi Minghui Gui, Indra Overland, Beni Suryadi, Zulfikar Yurnaidi

“…Specific gaps for capacity building are discussed in delivering strategic areas of energy transition, such as electrification of transportation, development of the green supply chain, deploying renewable energy, energy efficiency, strengthening finance and investment and reducing dependencies on fossil fuels. …”
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Evaluation of TiO₂ Nanoparticle-Enhanced Palm and Soybean Biodiesel Blends for Emission Mitigation and Improved Combustion Efficiency by Ramozon Khujamberdiev, Haeng Muk Cho

“…The use of biodiesel as an alternative to conventional diesel fuels has gained significant attention due to its potential for reducing greenhouse gas emissions and improving energy sustainability. This study explores the impact of TiO₂ nanoparticles on the emission characteristics and combustion efficiency of biodiesel blends in compression ignition (CI) engines. …”
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Accelerating dual-directional sulfur conversion through optimal p-band centers and interfacial charge redistribution for high-efficiency Li-S batteries by Yaojiang Yu, Xinying Wang, Weiliang Zhou, Zhenghui Li, Liguo Yue, Jialiang Feng, Zhuhang Shao, Wenwu Li, Yunyong Li, Yida Deng

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Efficient and Specific PDGFRβ‐Targeting Dual‐Mode T1‐T2 MRI Nanoprobe for Early Diagnosis of Non‐Alcoholic Fatty Liver by Zehua Li, Tongwei Zhang, Tongxiang Tao, Yaxuan Liu, Haining Xia, Sajid ur Rehman, Zeyong Guo, Jing Zhang, Ruiguo Chen, Zhan Zhang, Junfeng Wang, Kun Ma

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Transforming Prediction into Decision: Leveraging Transformer-Long Short-Term Memory Networks and Automatic Control for Enhanced Water Treatment Efficiency and Sustainability by Cheng Qiu, Qingchuan Li, Jiang Jing, Ningbo Tan, Jieping Wu, Mingxi Wang, Qianglin Li

“…NH₃-N concentration serves as a key indicator of treatment efficiency and environmental impact; however, its complex dynamics and the scarcity of measurements pose significant challenges for accurate prediction. …”
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A Comprehensive Analysis of Dropout Assisted Regularized Deep Learning Architectures for Dynamic Electricity Price Forecasting by Pooja Joshi, Stale Stordal, Gudbrand Lien, Deepti Mishra, Erik Haugom

“…As the world moves towards a sustainable future, there is a need for efficient integration of intermittent energy sources (IES) sources with intelligent energy grids. …”
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Evaluation and Prediction of Wind Power Utilization Efficiency Based on Super-SBM and LSTM Models: A Case Study of 30 Provinces in China by Chengyu Li, Qunwei Wang, Peng Zhou

“…The “Three-North” region with abundant wind energy resources has relatively high wind power utilization efficiency and exhibits a good development trend. …”
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Comprehensive Forecasting of Electrical Quantities in an Educational Building via Artificial Intelligence-Driven Distributed Measurement System by Virginia Negri, Roberto Tinarelli, Lorenzo Peretto, Alessandro Mingotti

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