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

Computer Systems Science & Engineering 2023年第8期46卷 1723-1740页

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 Electrical Engineering Department College of EngineeringNajran UniversityNajran61441Saudi Arabia Department of Creative Technologies Air University Islamabad44000IslamabadPakistan Faculty of Maritime Studies King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Software Engineering Captial University of Science and Technology44000IslamabadPakistan Department of Software Engineering Superior University Lahore53400Pakistan Nuclear Engineering Department King Abdulaziz UniversityJeddah21589Saudi Arabia Marine Engineering Department Faculty of Maritime StudiesKing Abdulaziz UniversityJeddah21589Saudi Arabia

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.

关键词： metaheuristics techniques artificial intelligence energy management data analytics smart grid smart home

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