AESware: Developing AES-enabled low-power multicore processors leveraging open RISC-V cores with a shared lightweight AES accelerator by Eunjin Choi, Jina Park, Kyuseung Han, Woojoo Lee

“…As open-source RISC-V cores continue to be released, the development of low-power multicore processors utilizing these cores is invigorating the edge/IoT device market. …”
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A typical scenario generation method for renewable energy power systems based on time-sequenced operational simulations by PENG Zhuyi, SONG Shan, XU Sixuan, GU Kanghui, GE Yi, WANG Quanquan, SUN Wentao

“…Traditional clustering methods based on source-load information struggle to accurately describe the time-sequenced operational characteristics of renewable energy power systems. …”
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Low-carbon economic dispatch of an integrated energy system considering carbon trading cost-sharing among multiple principals by Songtao HUANG, Jinxing DONG, Xuenan ZHAO, Jiakun HAN, Kuiliang YANG, Junjie LIU

“…In response to the difficulties in carbon trading cost-sharing and the insufficient motivation for emission reduction in the integrated energy system under the dual-carbon targets, a low-carbon economic scheduling strategy based on a multi-principal carbon trading cost-sharing mechanism is proposed. …”
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Joint power allocation and subcarrier assignment for device to device in 5G time division duplex networks by Pan Zhao, Lei Feng, Peng Yu, Wenjing Li, Xuesong Qiu

“…Device-to-device communication, adopting side links for user-direct communication, is regarded as a main technical source for offloading large volume of mobile traffic from cellular base station. …”
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An Assessment of Shipping Network Resilience Under the Epidemic Transmission Using a SEIR Model by Bo Song, Lei Shi, Zhanxin Ma

“…Epidemics spread through shipping networks and have dual characteristics as both biological sources of infection and triggers of cascading failures. …”
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Multiscale Water Cycle Mechanisms and Return Flow Utilization in Paddy Fields of Plain Irrigation Districts by Jie Zhang, Yujiang Xiong, Peihua Jiang, Niannian Yuan, Fengli Liu

“…We propose an integrated optimization strategy combining tillering-stage irrigation/drainage control, multiscale hydraulic interception (control gates and pond weirs), and dynamic watershed storage scheduling. This framework provides theoretical and practical insights for enhancing water use efficiency and mitigating non-point source pollution in plain irrigation districts.…”
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An Optimized Framework of the Integrated Renewable Energy and Power Quality Model for the Smart Grid by Naveen Kumar, Gopal Singh, Hailemichael Kebede

“…Depending on the properties of the system, various loads, power sources, and constraints are considered. The difficulty of adjusting load scheduling is transformed into a control problem by developing an efficient objective function. …”
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USING SYSTEM DYNAMICS MODELLING PRINCIPLES TO RESOLVE PROBLEMS OF REWORK IN CONSTRUCTION PROJECTS IN NIGERIA by Olatunji A. AIYETAN, Dillip DAS

“…The findings include that inappropriate scheduling for time pressure or delay at the planning stage, lack of adherence to the specifications, and non availability of skilled human resource are the major c auses of rework. …”
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Long short‐term memory‐based forecasting of uncertain parameters in an islanded hybrid microgrid and its energy management using improved grey wolf optimization algorithm by Raji Krishna, Hemamalini S

“…Its reliability depends on variable renewable output and load demand, while an energy management system optimizes power scheduling and reduces costs. In the first phase of this paper, uncertainty parameters like day‐ahead power from renewable energy sources (RES) and load demand (LD) are forecasted using the long short‐term memory (LSTM) deep learning algorithm. …”
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Optimal Dispatch Strategy of Power and Electricity Balance Based on Multi-Energy Complementation by Zhiyuan SUN, Boya PENG, Yan SUN

“…In the modern power system with high penetration of renewable power generation, giving full play to the potential of coordinative and complementary operations between different power generation sources and different energy storage equipments, can alleviate the huge stress on the system's power and electricity balance caused by the volatility of new energy output. …”
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ChatGPT in orthodontics: limitations and possibilities by Lima Nara Grazieli Martins, Costa Lavínia, Santos Patrícia Bittencourt

“…Patients benefit from its help in finding providers, scheduling initial appointments, accessing health information, improving healthcare access and service effectiveness. …”
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Coupled intelligent prediction model for medium- to long-term runoff based on teleconnection factors selection and spatial-temporal analysis. by Jintao Li, Ping Ai, Chuansheng Xiong, Yanhong Song

“…Traditional statistical models, which primarily focus on individual runoff sequences, struggle to integrate multi-source data, limiting their predictive accuracy. This narrow approach overlooks the multifaceted variables influencing runoff, resulting in incomplete and less reliable predictions. …”
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Enhanced estimation of reference evapotranspiration using hybrid deep learning models and remote sensing variables by Tze Ying Fong, Yuk Feng Huang, Ren Jie Chin, Chai Hoon Koo

“…Effective water resources management and irrigation scheduling for agricultural sector highly depend on the precise estimation of reference evapotranspiration, ETo. …”
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Single-Node Power Demand During AI Training: Measurements on an 8-GPU NVIDIA H100 System by Imran Latif, Alex C. Newkirk, Matthew R. Carbone, Arslan Munir, Yuewei Lin, Jonathan Koomey, Xi Yu, Zhihua Dong

“…Future work will investigate the impact of cooling technology and carbon-aware scheduling on AI workload energy consumption.…”
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Research on collaborative low-carbon operation method of distribution network multi-balance zone based on shared energy storage and electricity-carbon coupling by WU Xinhua, YANG Jie, WU Yufei, LIU Bin, TANG Bo

“…A multi-EBZ collaborative low-carbon optimization scheduling model for distribution network based on shared energy storage and electricity carbon coupling is established. …”
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Market-Based Coordination of Regional Electric and Natural Gas Systems: Peer-to-Peer Energy Trading Model by Guoqiang Sun, Jinghong Sun, Sheng Chen, Zhinong Wei, Hangxiang Zang

“…However, current decentralized energy trading developments, such as those based on the peer-to-peer (P2P) paradigm, have mainly focused on electric power grids, while regional integrated energy systems coupled by multiple energy sources are currently restricted to centralized scheduling generally. …”
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Sizing Algorithm for a Photovoltaic System along an Urban Railway Network towards Net Zero Emission by Prabath J. Binduhewa

“…The results indicated that the potential for photovoltaic generation by installing photovoltaic systems along a railway track is much higher than the requirement, and it is possible to meet the required train scheduling options with proper sizing. Furthermore, in the three-year analysis, it is possible to achieve 90% of the energy required for the railway electrification system with effective train scheduling methods.…”
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Effective Customization of Evolutionary Algorithm-Based Energy Management System Optimization for Improved Battery Management in Microgrids by Alessandro Niccolai, Silvia Trimarchi, Lisa Francesca Barbazza, Alessandro Gandelli, Riccardo Zich, Francesco Grimaccia, Sonia Leva

“…The growing penetration of renewable energy sources into electricity grids, along with the problems linked to the electrification of rural areas, has drawn more attention to the development of microgrids. …”
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Optimizing energy cost in the residential sector through home energy management systems in a smart grid environment by Nabeeha Qayyum, Umar Jamil, Anzar Mahmood

“…GA also demonstrated better appliance scheduling, with appliances in the “ON” state for 82% of the time, compared to 52% with PSO.…”
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Zero-Phase CARIMA Filtering and Application in Wind-Storage System Sizing and Power Dispatch Optimization by Wei Wang, Peng Chen, Guorui Ren, Jizhen Liu, Fang Fang, Zhe Chen

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