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A robust novel approach for dynamic energy management of smart grids in Wireless Sensor Networks


 In our research work, we have implemented interval type 2 fuzzy logic model (IT2FL) applied to Smart grids in Wireless Sensor Networks (WSNs). The smart grids equipped with our technique are proficient to mainly react to various metrics like effective electricity cost and heat to continue end user’s thermic relaxation. Moreover the capabilities of WSNs to identify, examine and calculate various variables have been assessed to progress the restrictions of actual power control organizations for instance thermoregulators. We have taken Set-point weight, Time-Weights and Override flag as input to evaluate System output in weights and minutes. Efficacy of the recommended framework is made by means of statistical analysis and multiple linear regressions(MLR)