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This study addresses this issue by introducing the Artificial Rabbit Optimization (ARO) algorithm and its enhanced version, the Long-Term Memory Artificial Rabbit Optimization (LMARO), specifically designed for optimizing energy consumption. Initial assessments for the proposed LMARO algorithm are performed on 7 Congress on Evolutionary Computation (CEC) test functions, and its obtained results were compared with recent optimization algorithms such as original ARO, northern goshawk optimization (NGO), wild horse optimizer (WHO), and\u00a0grey wolf optimizer (GWO). Then, the simulations were\u00a0carried out\u00a0to manage electricity demand during peak periods. The proposed approach uses a multiple knapsack model to keep consumption below a set threshold. Simulations evaluate the LMARO algorithm's performance, revealing considerable reductions in both electricity costs and the peak-to-average ratio (PAR). Results demonstrate that LMARO surpasses ARO and unscheduled scenarios, achieving up to a 22% reduction in costs for individual households (compared to 8% for ARO) and a 39% reduction in scenarios involving ten households (versus 24% for ARO). Additionally, LMARO reduces PAR by up to 25% for 50 households and 30% for 100 households. These findings highlight the LMARO algorithm's effectiveness in optimizing residential energy management.<\/jats:p>","DOI":"10.1007\/s10586-024-04968-5","type":"journal-article","created":{"date-parts":[[2025,4,28]],"date-time":"2025-04-28T11:55:45Z","timestamp":1745841345000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Smart home energy management with long-term memory artificial rabbit algorithm for cost and load optimization"],"prefix":"10.1007","volume":"28","author":[{"given":"Heba","family":"Youssef","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Salah","family":"Kamel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed H.","family":"Hassan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,4,28]]},"reference":[{"issue":"4","key":"4968_CR1","doi-asserted-by":"publisher","first-page":"944","DOI":"10.1109\/SURV.2011.101911.00087","volume":"14","author":"X Fang","year":"2011","unstructured":"Fang, X., et al.: Smart grid\u2014the new and improved power grid: a survey. 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