Arduino-based low-cost electrical load tracking system with a long-range mesh network

Author:

Wang Xin-Lin,Ha Bora,Manongi Frank Andrew,Jung Woo-Kyun,Jande Yusufu Abeid Chande,Ahn Sung-HoonORCID

Funder

National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning

Applied Basic Research Foundation of Yunnan Province

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Polymers and Plastics,Mechanical Engineering,Mechanics of Materials

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. AI-Empowered Methods for Smart Energy Consumption: A Review of Load Forecasting, Anomaly Detection and Demand Response;International Journal of Precision Engineering and Manufacturing-Green Technology;2023-09-23

2. Large-scale distribution network load data cleaning research based on improved random forest;Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023);2023-07-18

3. 3D printable resin/carbon nanotube composites for wearable strain sensors: Enhancing mechanical and electrical properties;Journal of Science: Advanced Materials and Devices;2023-06

4. Advances in Printing and Electronics: From Engagement to Commitment;Advanced Functional Materials;2023-02-10

5. Real-time detection of electrical load anomalies through hyperdimensional computing;Energy;2022-12

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