Study on the hybrid energy storage for industrial park energy systems: Advantages, current status, and challenges by Guo Jiacheng, Peng Jinqing, Luo Yimo, Zou Bin, Luo Zhengyi

“…The application of a hybrid energy storage system can effectively solve the problem of low renewable energy utilization levels caused by a spatiotemporal mismatch between the energy source and load. …”
Get full text

UAV launch methods by Oleksandr Dobrodomov, Vladyslav Proroka, Oleksii Kulyk

“…A crucial aspect of UAV development is the method of launch, as it directly impacts the overall system design, efficiency, cost, and operational conditions. With the continuous introduction of new UAV types, understanding the most effective launch methods for each specific case is paramount. …”
Get full text

The Optimal Scheduling of Integrated Energy System Considering the Incentive and Punishment Mechanism of Electric and Thermal Carbon Emission Factors by Kaiyan Wang, Hengxiang He, Ningning Yang, Xiaowei Wang, Rong Jia

“…To comprehensively explore the potential for carbon reduction through source-load synergy and achieve low-carbon and high-efficiency operation of the system, an IES optimal scheduling method that incorporates a reward and punishment mechanism for dynamic electricity and thermal carbon emission factors is proposed. …”
Get full text

Status and prospects of low carbon development in offshore oil and gas industry by CHEN Hongju, LIU Qiang, SUN Lili, YU Hang

“…Based on an analysis of the current status of low-carbon development in the domestic and international oil and gas industries, and considering the characteristics of offshore oil and gas development in China, this study first examines the main measures and technologies adopted for green and low-carbon transformation in recent years from three aspects: establishing standards and source intensity analysis to strengthen source control, implementing clean energy substitution and energy efficiency improvement for process management, and end-of-pipe management through CO₂ geological storage, CO₂-EOR（Enhanced Oil Recovery）, and CO₂ hydrate storage. …”
Get full text

Bandwagon effect, free-rider effect, tragedy of the commons: collaborative governance of marine pollution by Yu Gu

Get full text

Exploring nanoparticle dynamics in binary chemical reactions within magnetized porous media: a computational analysis by Saleem Nasir, Abdallah Berrouk, Asim Aamir

“…Abstract Artificial Neural Networks are incredibly efficient at handling complicated and nonlinear mathematical problems, making them very useful for tackling these challenges. …”
Get full text

Research on Hybrid Heating System in Cold Oilfield Regions by Meng Xu, Zhiyang Xu, Xinxin Wei, Gaoxiang Zhang, Changyu Liu

“…Efficient and clean treatment of wastewater and energy recovery and utilization are important links to realize low-carbon development of oilfields. …”
Get full text

Benchmarking reinforcement learning and accurate modeling of ground source heat pump systems: Intelligent strategy using spiking recurrent neural network combined with spider WASP... by Sana Qaiyum, Kashif Irshad, Mohamed E. Zayed, Salem Algarni, Talal Alqahtani, Asif Irshad Khan

“…Ground source heat pump (GSHP) has recently gained a great attention because of its efficient utilization of geothermal energy for building cooling and heating. …”
Get full text

Optimization of Multi-Energy Grid Integration and Energy Storage in Low-Carbon Power Systems Based on the TCM-MBZOA Algorithm: A Case Study of Yunnan Province by Yang Li, Guoen Zhou, Jiaqi Xue, Junwei Yang, Shi Yin

“…With the rapid transition toward green and low-carbon energy systems, efficient scheduling of power systems is crucial for improving energy utilization and reducing carbon emissions. …”
Get full text

Enhanced COVID-19 Optimization Algorithm for Solving Multi-Objective Optimal Power Flow Problems with Uncertain Renewable Energy Sources: A Case Study of the Iraqi High-Voltage Gri... by Basim ALBaaj, Orhan Kaplan

“…Thirteen different cases were analyzed, and the results demonstrate that ENHCOVIDOA is notably more efficient and effective than other optimization algorithms in the literature.…”
Get full text

A lightweight real-time unified detection model for rice and wheat ears in complex agricultural environments by Xiaojun Shen, Shuai Li, Fen Qiu, Lili Yao

“…On this basis, rice and wheat ear data collected by smartphones and drones are used, along with transfer learning and a staged data introduction strategy, to achieve efficient integration of multi-source data, significantly improving the generalization ability and adaptability of the model for detecting rice and wheat ear targets. …”
Get full text

An Investigation of factors Influencing electric vehicles charging Needs: Machine learning approach by Cuthbert Ruseruka, Judith Mwakalonge, Gurcan Comert, Saidi Siuhi, Debbie Indah, Sarah Kasomi, Tumlumbe Juliana Chengula

Get full text

Two-stage coordinated energy scheduling of intelligent connected transportation systems considering nonanticipativity by Junjie Hu, Jun Wu, Chengming Xu, Xuetao Liu, Baozhu Liu

Get full text

Interleaved Landsman Converter with Class Topper Optimized PI Control in Sensorless BLDC Motor Drive for Electric Vehicle by Suresh V., Jahnavi V.G., Manjula D., Lokesh M.

“…The significance of obtained results is the potential to revolutionize EV motor drive systems by offering an innovative, highly efficient, and scalable solution. This system not only enhances energy utilization and motor performance but also supports the widespread adoption of sustainable EV technology.…”
Get full text

A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in M... by Abhijeet Das

Get full text

Cutting-edge progress in offshore wind and tidal stream power technology—State-of-the-Art by Ladislas Mutunda Kangaji, Atanda Raji, Efe Orumwense

“…However, the study identifies persistent barriers such as high costs, environmental impact, and competition with more established renewable energy sources like solar and onshore wind. This paper emphasizes the importance of hybrid systems as a transformative approach to maximizing marine resource utilization and enhancing energy supply stability. …”
Get full text

An Embodied Intelligence System for Coal Mine Safety Assessment Based on Multi-Level Large Language Models by Yi Sun, Faxiu Ji

“…Experimental results demonstrate that the system effectively processes sensor data and exhibits rapid, efficient safety assessment capabilities during embodied interactions, offering an innovative solution for coal mine safety.…”
Get full text

The Impact of Differences in Renovation Models of Abandoned Boiler Rooms on Community Vitality—A Case Study of Shenyang, China by Lei Chen, Yahang Cheng, Zixi Zhou, Yibo Wen

“…The results show that the community service center conversion model maximizes spatial efficiency through functional integration, achieving a vitality score of 3.64—substantially higher than those for recreational renovations (3.16) and non-renovated sites (2.67). …”
Get full text

DeFault: DEep‐Learning‐Based FAULT Delineation Using the IBDP Passive Seismic Data at the Decatur CO2 Storage Site by Hanchen Wang, Yinpeng Chen, Tariq Alkhalifah, Ting Chen, Youzuo Lin, David Alumbaugh

“…Our approach accurately and efficiently relocated passive seismic events, identified faults and could aid in potential damage induced by seismicity. …”
Get full text

Optimization of Carbon and Nitrogen Source on the Production of Pectinase Enzymes in Solid-state Fermentation by Cyberlindnera fabianii UNJCC Y-144 and Candida tropicalis UNJCC Y-1... by Dalia Sukmawati, Adisyahputra, Rifdah Hasanah, Shabrina Nida Al Husna, Nuniek Ina Ratnaningtyas, Adil Aksoy, Hesham Ali El-Enshasy

“…These findings underscore the potential of utilizing local yeasts for biotechnological applications in enzyme production, particularly in the food industry, where pectinase plays a critical role in processing fruit and improving juice extraction efficiency.…”
Get full text