Date of Publication :10th July 2019

Abstract: In today’s world, with the decrease in the coal and other conventional sources of energy, the need of the hour for the use of other renewable sources of energy has arisen. The untapped potential of the renewable sources of energy like the wind and solar energy which when used to the full extent, have the potential to become a major boon to the ever increasing power demand. When used in combination with the newer trends of technology like Artificial Intelligence and neural networks, they can be used in the development of smart energy management systems that can be used in decreasing the energy expenditure.This paper analyses the design of a smart energy management system that is used to limit and conserve the excess power consumption from the grid by a domestic household by the use of a stand - alone solar panel system. The excess energy required by the system above a particular threshold value of consumption from the grid can be supplied by means of wireless transfer of power from the load along with the consumption by the standalone and the domestic systems being monitored by means of Power Line Communication (PLC) and Neural Network algorithm

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