Edge Computing for Real-Time Climate Data Analysis in Smart Farming by Shnain Ammar Hameed, Abed Z., Annapoorna Errabelli

“…In smart farming, real-time insight is scheduled for the informed decision taking but the traditional ways of data collection and processing does not support such fast and accurate measurements. …”
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Comprehensive Analysis of Neural Network Inference on Embedded Systems: Response Time, Calibration, and Model Optimisation by Patrick Huber, Ulrich Göhner, Mario Trapp, Jonathan Zender, Rabea Lichtenberg

“…The response time of Artificial Neural Network (ANN) inference is critical in embedded systems processing sensor data close to the source. This is particularly important in applications such as predictive maintenance, which rely on timely state change predictions. …”
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EVALUATION OF CONSTRUCTION MATERIALS ON PROJECT SITES IN FEDERAL CAPITAL TERRITORY, F.C.T, ABUJA by Micheal, F., Mahmoud, A., Ishaya, K.S, Kpalo, S.Y

“…Questionnaires from field survey, interview and site observation were the source of data collected. Descriptive statistics including frequency and mean index score method was used for the study. …”
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A dynamic early warning model based on LSTM-AM for property-based elderly care resource shortages in urban-rural integrated counties in China by Qingheng Sun

“…The model can predict resource shortages 8–12 months in advance and generate facility allocation and personnel scheduling plans.…”
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Health management information system (HMIS) data verification: A case study in four districts in Rwanda. by Alphonse Nshimyiryo, Catherine M Kirk, Sara M Sauer, Emmanuel Ntawuyirusha, Andrew Muhire, Felix Sayinzoga, Bethany Hedt-Gauthier

“…A HF was excluded from a specific comparison if the service was not offered, source documents were unavailable or at least one HMIS report was missing for the study period. …”
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SORA: Energy-Efficient Resource Allocation in Open Radio Access Network With Online Learning by Aerman Tuerxun, Akihiro Nakao

“…We validate our method using open-source platforms—OpenAirInterface and FlexRIC—demonstrating its practical effectiveness. …”
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DEDICATING PROJECT MANAGEMENT TOOLS TO DIGITAL MARKETING EFFECTIVENESS by Tinatin Mshvidobadze, Maka Sosanidze

“…Another future direction in this regard is the development of an integrated scheduling algorithm that can create a robust process model. …”
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A Low-Carbon Interactive Management Strategy for Community Integrated Energy System Based on Real-Time Carbon Intensity Assessment by GAO Bo, LI Fei, SHI Lun, TAO Peng, SHI Zhengang, ZHANG Chao, PENG Jie, ZHAO Yiyi

“…With increasing energy consumption on the demand side, residential energy use has become a significant source of carbon emissions, which presents a substantial opportunity for emission reduction. …”
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Short-term photovoltaic power forecasting based on a new hybrid deep learning model incorporating transfer learning strategy by Tiandong Ma, Feng Li, Renlong Gao, Siyu Hu, Wenwen Ma

“…In this study, the pre-training of models using data from different source domains and the correlations between these pre-trained models and the target domain were analyzed.…”
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Differential protection of distribution network based on 5G and particle swarm algorithm by HAO Hanbing, WANG Tongwen, ZHU Sijie, HOU Zhengquan, HUANG Yuhui

“…Differential protection has excellent selectivity and quick motion, which is suitable for distribution network protection scenarios of multi-source networks. Aiming at the problem of 5G differential protection communication delay and excessive delay jitter, a differential protection method of distribution network based on 5G and particle swarm algorithm is proposed. …”
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Assessing a Measurement-Oriented Data Management Framework in Energy IoT Applications by Hariom Dhungana, Francesco Bellotti, Matteo Fresta, Pragya Dhungana, Riccardo Berta

“…This paper explores and validates the use of a generic, flexible, open-source measurement-oriented data collection framework for the energy field, namely Measurify, in the Internet of Things (IoT) context. …”
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Multi-risk-scenarios flexibility evaluation model of regional power grid considering economic efficiency of dispatching measures by ZHOU Qihang, GUAN Lin, XIAN Weihong, XUAN Peizheng, CHENG Lanfen, LI Zixi

“…Because of the integration of large amount of new energy sources, the power flow variation and voltage volatility in regional power system increase and it escalates the risk of equipment overload. …”
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Rolling Prediction of Emergency Supplies Based on Postdisaster Multisource Time-Varying Information by Wei Li, Ming Zhang, Boquan Li, Songrui Li, Zhifeng Qiu

“…This method cannot flexibly adjust multiperiod material demands. Considering data sources, acquiring data regarding material demands in historical disasters is more difficult and has more uncertainty compared with statistical data on deaths. …”
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Spatiotemporal Variations of Groundwater Storage in arid region by Wang Jing, Dong Guotao, Feng Jianhong, Gao Wende, Zhang Baohe

“…This study estimates groundwater storage (GWS) changes in the HRB from 2003 to 2020 using multi-source remote sensing data and Bayesian statistical modeling. …”
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Reserch on Low-Carbon Optimal Operation of Offshore Oil and Gas Micro Integrated Energy System by Qian LI, Haitao HUANG, Xiaobin YAN, Changjiang LIAO, Xin PENG, Anan ZHANG

“…Considering the uncertainty of source and load, a stochastic fuzzy economic optimal scheduling model is constructed to realize the coordinated optimization of the system. …”
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A novel smart community: Combining a flexible heating system as electrical demand response to enhance local renewable energy integration by Yufei Xi, Yuguang Song, Meng Chen, Jiansheng Zhang, Lin Cheng, Zhe Chen

“…The proposed HS facilitates dispatchable solar power generation and responsive heat–electricity demand management by integrating medium-high-temperature photothermal (MHTPT) and ground-source heat pump (GSHP) technologies. Meanwhile, a dual-objective scheduling model is formulated to minimize the operating costs and carbon emissions of the SC system, and its effectiveness is validated through case studies. …”
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A Multi-Time Scale Dispatch Strategy Integrating Carbon Trading for Mitigating Renewable Energy Fluctuations in Virtual Power Plants by Wanling Zhuang, Junwei Liu, Jun Zhan, Honghao Liang, Cong Shen, Qian Ai, Minyu Chen

“…Under the “dual-carbon” strategic framework, the installed capacity of renewable energy sources has continuously increased, while that of conventional generation units has progressively decreased. …”
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Optimizing Virtual Power Plants with Parallel Simulated Annealing on High-Performance Computing by Ali Abbasi, Filipe Alves, Rui A. Ribeiro, João L. Sobral, Ricardo Rodrigues

“…This work focuses on optimizing the scheduling of virtual power plants (VPPs)—as implemented in the Portuguese national project New Generation Storage (NGS)—to maximize social welfare and enhance energy trading efficiency within modern energy grids. …”
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Optimization of distribution networks using quantum annealing for loss reduction and voltage improvement in electrical vehicle parking management by Naser Rashnu, Babak Mozafari, Reza Sharifi

“…The proposed approach formulates the EV parking scheduling task as a Quadratic Unconstrained Binary Optimization (QUBO) problem, suitable for quantum processing. …”
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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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