
IEEE Access, Год журнала: 2024, Номер 12, С. 171166 - 171184
Опубликована: Янв. 1, 2024
Язык: Английский
IEEE Access, Год журнала: 2024, Номер 12, С. 171166 - 171184
Опубликована: Янв. 1, 2024
Язык: Английский
Frontiers in Sustainable Cities, Год журнала: 2025, Номер 6
Опубликована: Янв. 15, 2025
Introduction Urban power load forecasting is essential for smart grid planning but hindered by data imbalance issues. Traditional single-model approaches fail to address this effectively, while multi-model methods mitigate splitting datasets incur high costs and risk losing shared distribution characteristics. Methods A lightweight urban model (DLUPLF) proposed, enhancing LSTM networks with contrastive loss in short-term sampling, a difference compensation mechanism, feature extraction layer reduce costs. The adjusts predictions learning differences employs dynamic class-center regularization. Its performance was evaluated through parameter tuning comparative analysis. Results DLUPLF demonstrated improved accuracy imbalanced reducing computational It preserved characteristics outperformed traditional efficiency prediction accuracy. Discussion effectively addresses complexity challenges, making it promising solution forecasting. Future work will focus on real-time applications broader systems.
Язык: Английский
Процитировано
0Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Studies in computational intelligence, Год журнала: 2025, Номер unknown, С. 249 - 263
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Ad Hoc Networks, Год журнала: 2025, Номер unknown, С. 103842 - 103842
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0Advances in Science, Technology & Innovation/Advances in science, technology & innovation, Год журнала: 2025, Номер unknown, С. 169 - 190
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0IEEE Internet of Things Journal, Год журнала: 2024, Номер 11(14), С. 24604 - 24620
Опубликована: Апрель 29, 2024
Язык: Английский
Процитировано
2Electronics, Год журнала: 2024, Номер 13(16), С. 3208 - 3208
Опубликована: Авг. 13, 2024
Interest in Unmanned Aerial Vehicles (UAVs) has been increasingly growing recent years, especially for purposes other than those which they were initially used (civil and military purposes). Currently, fact, are advanced monitoring control purposes, 3D reconstructions of the territory cultural heritage, freight transport. The problem using these systems consists limited flight autonomy. In commercially drones, today, sold with a set batteries duration do not allow flights over large areas and, therefore, detailed surveys. present work seeks to overcome limitations by proposing an intelligent automatic charging system (Intelligent Charging Network) created PC Engines Alix experimental drone prototype Raspberry Pi 3 Navio 2 module. At same time, efficient Intelligent Network–drone communication data transmission proposed, images acquired be transferred directly server storage their subsequent processing as well plan from QGroundControl application drone. proposed represents technological innovation field drones potential future developments linked implementation sustainable drones.
Язык: Английский
Процитировано
2Advances in computational intelligence and robotics book series, Год журнала: 2024, Номер unknown, С. 204 - 229
Опубликована: Май 6, 2024
The portability and automation of the internet drones (IOD) have drawn increasing attention in recent years, it is being used various fields (such as military, rescue entertainment, disaster management). Unmanned aerial vehicles (UAVs) recently established their capacity to provide cost-effective credible solutions for real-world scenarios. since security privacy are among main concerns IOD, this chapter, authors perform a complete analysis issues IOD security, analyzing IOD-related requirements identifying newest improvement research. This explores many essential technologies emphasizing authentication mechanisms blockchain-powered schemes. Based on rigorous review, discuss faced by current approaches management offer future research areas.
Язык: Английский
Процитировано
0IEEE Access, Год журнала: 2024, Номер 12, С. 171166 - 171184
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
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