Call For Paper Volume:5 Issue:10 Oct'2018 |

Design and Implementation of an Energy Load Management Using Artificial Neural Network : A Review

Publication Date : 02/02/2017


DOI : 10.21884/IJMTER.2017.4036.OHQKN

Author(s) :

Varsha L. Makhija , Dinkar L. Bhombe , Dr.Devesh D. Nawgaje.


Volume/Issue :
Volume 4
,
Issue 1
(02 - 2017)



Abstract :

Change is the need of time and automation in the system are the change which are the needs of this of this 21stcentury.There may be load surges or popping out some times in the industries. In this paper we suggest the priority driven the load management using automation techniques. According to the tendencies, parameters and significance, loads are prioritized. We use this priority for supplying power to the maximum demanding load .This automation purpose is satisfied by and for setting priority we have one relay driving circuit connected with controller. We predefine the priority of the system and according to that priority we assign the energy to the load. This paper proposes the plan of a self-ruling control system utilizing Artificial Neural Network (ANN).The ANN is utilized to produce the energy effective load designs. The control system interfaces sensors and control loads with controller. The server can control every one of the loads rely on upon the continuous information from the applicable sensors which are associated with controller .The information of the procedure is sent to the client through IOT.To avoid the shortage of power on the required load the ANN Algorithm is executed in this system .


No. of Downloads :

4


Indexing

Web Design MymensinghPremium WordPress ThemesWeb Development

Design and Implementation of an Energy Load Management Using Artificial Neural Network : A Review

January 29, 2017