Staging of Flood Season for Danjiangkou Reservoir Considering Characteristics of Plum Rain and West China Autumn Rainfall by WANG Xiao-ya, GUO Sheng-lian, WANG Jun, SHI Yi-jun, DONG Fu-qiang, YANG Hai-cong

“…The research findings provide a theoretical basis for operation and scheduling decisions for Danjiangkou Reservoir.…”
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Power Grid Clock Synchronization Optimization Based on Stackelberg Game Theory by Jiahao Li, Yitao Zhao, Yiming Zhang, Zhiyu Xia, Chuanxu Chen, Quansheng Guan

“…Furthermore, the network simulator Mininet and the open-source software-defined network framework Ryu are used to evaluate the performance of the proposed method. …”
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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

“…It is solved by geometric programming technique in convex optimization method. The latter is derived as a one-to-many matching problem for scheduling multiple subcarriers occupied by cellulars to device-to-device pairs. …”
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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

“…Finally, case studies are performed to verify the effectiveness of the proposed method on the modified IEEE-RTS 1979 system model. …”
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Uptake and determinants of routine vaccines among children aged 12–23 months in adansi South district of Ghana. a cross-sectional study by Samuel Sem, Jacob Owusu Sarfo, Mustapha Amoadu, Thomas Hormenu

“…Methods A cross-sectional community-based survey with a census approach was conducted involving 3,312 mothers with children aged 12–23 months. …”
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Two-Stage Locating and Capacity Optimization Model for the Ultra-High-Voltage DC Receiving End Considering Carbon Emission Trading and Renewable Energy Time-Series Output Reconstru... by Lang Zhao, Zhidong Wang, Hao Sheng, Yizheng Li, Tianqi Zhang, Yao Wang, Haifeng Yu

“…In addition, to address the problem that the probabilistic constraints of the scheduling model are difficult to solve, the discrete step-size transformation and convolution sequence operation methods are proposed to transform the chance-constrained planning into mixed-integer linear planning for solving. …”
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Cost-benefit analysis in demand response with penalty and grid management using blockchain by Manikandan Ramasamy, Thenmalar Kaliannan, Saravanakumar Ramasamy

“…Ultimately, outcomes are acquired and compared using optimization methods for test system results. A 24-h scheduling interval is used to produce optimization results.…”
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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

“…In this work, the optimization algorithm directly manages the microgrid Energy Management System, allowing for a large number of degrees of freedom that can be exploited to achieve highly competitive solutions. This method was compared with a standard scheduling approach, and an average improvement of 11.87% in fuel consumption was achieved. …”
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Optimization planning of new rural multi-energy distribution network based on fuzzy algorithm by Huanhuan Ye, Qing Wang, Yongsheng Xian, Bo Wen, Yuange Li, Siwei Hou

“…Abstract With the increasing demand for renewable energy in new rural areas, the integration and optimization of multi-energy systems such as wind and photovoltaic have become a key issue in distribution network planning. Existing methods are difficult to cope with the volatility and uncertainty of energy sources, resulting in uneven load distribution, high energy loss and low system efficiency. …”
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Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant by Zhongkai Yi, Yinliang Xu, Xuan Wei, Hongbin Sun

“…To avoid branch power flow outage and voltage violation under uncertain regulation commands, a tri-level robust optimization-based day-ahead energy and regulation service bidding strategy for a generalized VPP, considering various distributed energy resources is proposed, in which the VPP bidding strategy, worst scenario estimation approach and regulation service scheduling method are formulated at three optimization layers, respectively. …”
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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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Capacity Estimation of Lithium-Ion Battery Systems in Fuel Cell Ships Based on Deep Learning Model by Xiangguo Yang, Jia Tang, Qijia Song, Yifan Liu, Lin Liu, Xingwei Zhou, Yuelin Chen, Telu Tang

“…The capacity estimation of lithium-ion batteries, serving as an auxiliary power source in fuel cell vessels, is crucial for ensuring system stability and enhancing operational efficiency. …”
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Optimal Dispatch of a Virtual Power Plant Considering Distributed Energy Resources Under Uncertainty by Obed N. Onsomu, Erman Terciyanlı, Bülent Yeşilata

“…The varying characteristics of grid-connected energy resources necessitate a clear and effective approach for managing and scheduling generation units. Without proper control, high levels of renewable integration can pose challenges to optimal dispatch, especially as more generation sources, like wind and solar PV, are introduced. …”
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Deep learning-based time series prediction for precision field crop protection by Tao He, Meijin Li, Dong Jin

“…We introduce the Resource-Aware Adaptive Decision Algorithm (RAADA), which leverages reinforcement learning to translate SADF-Net’s predictions into optimized strategies for resource allocation, such as irrigation scheduling and pest control. RAADA dynamically adapts decisions based on real-time field responses, ensuring efficiency and sustainability.ResultsThe experimental findings obtained from large-scale agricultural datasets show that our framework far exceeds the existing most advanced methods in terms of the accuracy of yield prediction, resource optimization, and environmental impact mitigation.DiscussionThis research offers a transformative solution for precision agriculture, aligning with the pressing need for advanced tools in sustainable crop management.…”
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Social Media’s Influence on Parents’ Decision-Making Process of Child Vaccinations by David Wachob, Amanda Boldy

“…Background: This study examined parent perceptions towards child vaccinations, and sources used leading to inoculation decisions. Methods: A survey was electronically dispersed to parents to examine their perceptions of vaccinations, what source they used to form their decisions, and whether or not they have their children vaccinated. …”
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The Operation Strategy of a Multi-Microgrid Considering the Interaction of Different Subjects’ Interests by Siwen Wang, Hui Chen, Chunyang Gong, Yanfei Shang, Zhixin Wang

“…The microgrid is primarily concerned with achieving self-balancing between power sources, the network, loads, and storage. In decentralized multi-microgrid (MMG) access scenarios, the aggregation of distributed energy within a region enables the unified optimization of scheduling, which improves regional energy self-sufficiency while mitigating the impact and risks of distributed energy on grid operations. …”
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A systematic review on the efficacy of artificial intelligence in geriatric healthcare: a critical analysis of current literature by Rangraze Imran, Shehla Shafi Khan

“…Abstract Objective To carry out systematic analysis of existing literature on role of Artificial Intelligence in geriatric patient healthcare. Methods A detailed online search was carried out using search phrases in reliable sources of information like Pubmed database, Embase database, Ovid database, Global Health database, PsycINFO, and Web of Science. …”
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Design and implementation of an intelligent sports management system (ISMS) using wireless sensor networks by ZhiGuo Zhu

“…To evaluate the system performance in different scenarios, we performed many experiments, which show that the proposed ISMS model shows the system efficacy in improving accuracy (0.94), specificity (0.97), recall (0.91), precision (0.93), F1 score (0.95), mean absolute error (MAE) (0.6), mean square error (MSE) (0.8), and root mean square error (RMSE) (0.9), compared to traditional methods. From these results, it is clear that our suggested approach improves athlete performance monitoring, injury prevention plans, and training schedules by presenting a complete and novel solution for recent sports management.…”
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Applications of Deep Reinforcement Learning for Home Energy Management Systems: A Review by Dominik Latoń, Jakub Grela, Andrzej Ożadowicz

“…This review is notable for its comprehensive examination of the applications of RL-based methods and tools in HEMS, which encompasses demand response, load scheduling, and renewable energy integration. …”
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