scholarly journals Machine Learning in Smart Home Energy Monitoring System

2021 ◽  
Vol 769 (4) ◽  
pp. 042035
Author(s):  
Gengyi Xiao
Author(s):  
Nurfadzilah Ahmad ◽  
Iman Syazwan Mohd Yusof ◽  
Noor Ezan Abdullah ◽  
Nur Fadhilah Jamaludin ◽  
Dayana Kamaruzzaman ◽  
...  

2021 ◽  
Author(s):  
Jin Liu ◽  
Yingmin Feng ◽  
Liyan Huang ◽  
Guoqi Ren ◽  
Jing Zhao ◽  
...  

Author(s):  
C. Chennakesavan

<p>Internet of Things (IoT) is the expansion of web administrations. Employments of new advancements in IoT condition are expanding quickly. A Smart Home is additionally one of the uses of IoT. A Smart Switchboard constrains customer’s execution in watching home settings and controlling home machines. This paper shows an approach to manage the progression of Smart Home applications by consolidating IoT with Web server and Cloud organize. The approach concentrates on: (1) implanting insight into sensors utilizing Energia stage [7]; (2) Creating collaborations with brilliant things utilizing Blynk-Cloud stage; (3) expanding information trade proficiency. At the point when these family unit gadgets in brilliant homes interface with the web utilizing legitimate design, then entire framework can be called as Smart Home in IoT condition or IoT based Smart Homes. Keen Homes contains family unit gadgets/home apparatuses could screen and control remotely. In addition, we execute three cases to show the approach's possibility and productivity, i.e., measuring home conditions, observing electrical machines, and controlling home robotization. </p>


Author(s):  
Mopuri Deepika ◽  
Merugu Kavitha ◽  
N. S. Kalyan Chakravarthy ◽  
J. Srinivas Rao ◽  
D. Mohan Reddy ◽  
...  

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