A novel intelligent technique for energy management in smart home using internet of things

Abstract

This manuscript proposes a hybrid method for energy management system (EMS) in smart home using internet of things (IoT). The proposed hybrid method is hybrid wrapper of both Sailfish Optimizer (SFO) and Adaptive Neuro-Fuzzy Interference System (ANFIS). Commonly called as SFOANFIS method. The proposed method optimally manages the power and resources of distribution system (DS). In the proposed method, every household appliance are connected with cloud internet of things has particular internet protocol (IP) addresses, for reducing the growth of demand response (DR) in home EMS (HEMS), the internet of things based communication system is used in DS. From every household appliance, the centralized server collects the gathered demand response data. The collected data is managed by SFOANFIS method. Similarly, the DS based internet of things increases the flexibility of these networks provides the optimal use of presented resources. Then, the proposed method fulfils the overall supply and energy demand. The performance of proposed method is implemented on MATLAB site and compared with different existing algorithms like ANFIS and advanced salp swam optimization algorithm (ANFASO), Sailfish Optimizer, squirrel optimization with gravitational search-aided​ neural network (SOGSNN) methods.