- Eklemek veya çıkarmak istediğiniz kriterleriniz için 'Dahil' / 'Hariç' seçeneğini kullanabilirsiniz. Sorgu satırları birbirine 'VE' bağlacı ile bağlıdır. - İptal tuşuna basarak normal aramaya dönebilirsiniz.
Smart home energy scheduling problem is a significant subject in power system to avoid extra expenditure. In this work, the scheduling problem is realized using mixed integer linear (MILP) programming and simulated annealing (SA) method. MILP is one of the integer optimization method and SA is a strong technique for solving hard combinatorial optimization problems. Various types of electricity tariff is applied from country to country. In Turkey, one term and three term tariffs (electricity prices are divided into three parts; off-peak hours, mid-peak hours on-peak hours) are used. In this stu ...Daha fazlası
Many tariffs are used for electricity pricing. Electricity bills can be reduced by choosing the optimal working hours of appliances and for appropriate tariffs in smart homes. In this study, Linear Programming (LP) and Simulated Annealing (SA) methods are realized and compared each other to find minimum bill. The multi-time tariffs that have different energy unit prices at different times of the day are preferred. Energy Management System (EMS) shifts time slots of some appliances to cheap energy unit prices. Optimal load control is applied to prevent high peak demand because there may be over ...Daha fazlası
6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında yükümlülüklerimiz ve cerez politikamız hakkında bilgi sahibi olmak için alttaki bağlantıyı kullanabilirsiniz.