Abstract
Normal 0 false false false EN-ID X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:Table Normal; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:Calibri,sans-serif;} Increasing demand for electricity also implies a rise in conventional energy use, and by using conventional energy, leading to disadvantages such as being environmentally unfriendly as a result of fossil fuel use. The system to be researched is a wireless intelligent power switch. The system will be created using 2 types of resources and each load will be linked to a switch to determine the power distribution. The power distribution decision making involves an artificial intelligence-based on backpropagation neural network. The results of the comparison between the outcomes of Matlab simulation and the anticipated target showed excellent outcomes after testing the system, with accurate 94.3% and delay transmission 5 – 10 second.
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