Power Scheduling with Max User Comfort in Smart Home:Performance Analysis and Tradeoffs

作     者：Muhammad Irfan Ch.Anwar Ul Hassan Faisal Althobiani Nasir Ayub Raja Jalees Ul Hussen Khan Emad Ismat Ghandourah Majid A.Almas Saleh Mohammed Ghonaim V.R.Shamji Saifur Rahman 

作者机构：Electrical Engineering DepartmentCollege of EngineeringNajran UniversityNajran61441Saudi Arabia Department of Creative TechnologiesAir University Islamabad44000IslamabadPakistan Faculty of Maritime StudiesKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Software EngineeringCaptial University of Science and Technology44000IslamabadPakistan Department of Software EngineeringSuperior University Lahore53400Pakistan Nuclear Engineering DepartmentKing Abdulaziz UniversityJeddah21589Saudi Arabia Marine Engineering DepartmentFaculty of Maritime StudiesKing Abdulaziz UniversityJeddah21589Saudi Arabia 

出 版 物：《Computer Systems Science & Engineering》 (计算机系统科学与工程（英文）)

年 卷 期：2023年第46卷第8期

页      面：1723-1740页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：The authors gratefully acknowledge the Deanship of Scientific Research at Najran University in the Kingdom of Saudi Arabia for funding this work through the Research Groups funding program with the Grant Code Number(NU/RG/SERC/11/7) 

主　　题：Metaheuristics techniques artificial intelligence energy management data analytics smart grid smart home 

摘      要：The smart grid has enabled users to control their home energy more effectively and efficiently.A home energy management system(HEM)is a challenging task because this requires the most effective scheduling of intelligent home appliances to save ***,we presented a meta-heuristic-based HEM system that integrates the Greywolf Algorithm(GWA)and Harmony Search Algorithms(HSA).Moreover,a fusion initiated on HSA and GWA operators is used to optimize energy ***,many knapsacks are being utilized to ensure that peak-hour load usage for electricity customers does not surpass a certain *** has proven beneficial in achieving numerous objectives simultaneously,decreasing the peak-to-average ratio and power *** MATLAB simulations are cast-off to evaluate the routine of the anticipated method,Harmony GWA(HGWA).The simulations are for a multifamily housing complex outfitted with various cool *** simulation results indicate that GWA functions better regarding cost savings than *** reputes of PAR,HSA is significantly more effective than *** suggested method reduces costs for single and ten-house construction by up to 2200.3 PKR,as opposed to 503.4 in GWA,398.10 in HSA and 640.3 in *** suggested approach performed better than HSA and GWA in PAR *** single-family homes in HGWA,GWA and HSA,the reduction in PAR is 45.79%,21.92%and 20.54%,*** hybrid approach,however,performs better than the currently used nature-inspired techniques in terms of Cost and PAR.