DOI:10.21884/IJMTER.2017.4036.OHQKN 249 DESIGN AND IMPLEMENTATION OF AN ENERGY LOAD MANAGEMENT USING ARTIFICIAL NEURAL NETWORK: A REVIEW Varsha L. Makhija 1 , Dinkar L. Bhombe 2 and Dr.Devesh D. Nawgaje 3 1 P.G. Scholar, Department of E and TC, SSGMCE, Shegaon, Maharashtra, India 2,3 Asso. Professor, Department of E and TC, SSGMCE, Shegaon, Maharashtra, India Abstract—Change is the need of time and automation in the system are the change which are the needs of this of this 21 st century . 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 . Keywords— Electricity, Energy management, Real time monitoring, ANN, IOT. I. INTRODUCTION Load management is the way toward adjusting the supply of power on the system with the electrical load by changing or controlling the load instead of the power station output.Load management permits utilities to decrease interest for power during peak usage which can, inturn, reduces the cost by dispensing with the requirement for peaking power plants. Load management can likewise reduces harmful emissions. Since power plants or reinforcement generators are regularly less proficient than base load control plant. New load management innovations are always a work in progress both by private industry and public areas .One of the innovation being created is need load administration. A priority load management system has been developed in order to gain an optimal energy management over system load and battery storage, and therefore provides a better management efficiency and guarantee the energy supply for critical load. In industries there is importance of energy management. Due to poor energy management in system there is tremendous energy loss occurred. So for improving the stability of the system and improving the load management the latest technology of energy management is introduced in this paper. In this paper we suggest the priority driven the load management using automation techniques. There may be load surges or popping out some times in the industries. We can assign the priority to the load according to its natures, parameters and importance. We use this priority for selecting and load which is to be used for automation. This automation purpose is satisfied by and for setting priority we have one relay driving circuit connected with controller. We pre define the priority of the system and according to that priority we assign the energy to the load and for the priority purpose. Feedback is taken from each section so that automatic priority at the time of low power supply can assumed. Hence whenever there is improper power supply, depending upon the feedback from each section, sections which is necessary at that time will be switched on automatically and other sections will be switched off.