Development of predictive neural network with historical and geometrical inputs to minimize energy consumption in solar-fed wireless sensor networks-Reference-Cited by-同舟云学术

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Development of predictive neural network with historical and geometrical inputs to minimize energy consumption in solar-fed wireless sensor networks

Published:2023-06 Issue: Volume:34 Page:101040
ISSN:2352-4677
Container-title:Sustainable Energy, Grids and Networks
language:en
Short-container-title:Sustainable Energy, Grids and Networks

Author:

Al-Omary Murad^ORCID,Viehweger Christian,Kanoun Olfa

Funder

Technische Universität Chemnitz

German-Jordanian University

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Control and Systems Engineering

Reference58 articles.

1. Software-defined wireless sensor networks: A survey;Mostafaei;J. Netw. Comput. Appl.,2018

2. Wireless Sensor Networks;Fahmy,2016

3. Wireless sensors for medical applications: Current status and future challenges;Elayan,2017

4. Precision irrigation based on wireless sensor network;Khriji;IET Sci. Meas. Technol.,2014

5. Wireless sensor network for smart agriculture;Sahitya,2016

Cited by 1 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. Integrating Random Forest Prediction for Energy Optimization in Solar-Powered Environmental Monitoring;2024 IEEE 27th International Symposium on Real-Time Distributed Computing (ISORC);2024-05-22

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