Makhadmeh, Sharif NaserAl-Betar, Mohammed AzmiAbasi, Ammar KamalAwadallah, Mohammed A.Alyasseri, Zaid Abdi AlkareemAlomari, Osama AhmadAbu Doush, Iyad2024-09-112024-09-112021978-1-6654-3651-9https://doi.org/10.1109/PICICT53635.2021.00026https://hdl.handle.net/11363/7871Palestinian International Conference on Information and Communication Technology (PICICT) -- SEP 28-29, 2021 -- Gaza, PALESTINEThe power scheduling problem in smart home (PSPSH) refers to schedule smart appliances at suitable times in accordance with pricing system(s). Smart appliances can be rearranged and scheduled by moving their operation times from one period to another. Such a process aims to decrease the electricity bill and the power demand at peak periods and improve user satisfaction. Different optimization approaches were proposed to address PSPSH, where metaheuristics are the most common methods. In this paper, wind-driven optimization (WDO) is adapted to handle PSPSH and optimize its objectives. Smart home battery (SHB) is modelled and used to improve the schedules by storing power at off-peak periods and using the stored power at peak periods. In the simulation results, the proposed approach proves its efficiency in reducing electricity bills and improving user satisfaction. In addition, WDO is compared with bacterial foraging optimization algorithm (BFOA) to evaluate and investigate its performance. WDO outperforms BFOA in optimizing PSPSH objectives.eninfo:eu-repo/semantics/closedAccessOptimizationPower Scheduling Problem in Smart HomeWind Driven OptimizationSmart Home BatteryConference Object828710.1109/PICICT53635.2021.000262-s2.0-85124011500WOS:000852817600014N/A