Moataz Mohsen Gendy Hady  <br/><br/>
Load disaggregation smart meters by non- Intrusive load monitoring using  Evolutionary algorithms /  
 تفصيل الأحمال بواسطة العدادات الكهربية الذكية بطريقة مراقبة الأحمال الغير تداخلية بإستخدام الخوارزميات التطورية  
Moataz Mohsen Gendy Hady ; Supervised Essam Eldin Mohamed  Abou El Zahab , Mahmoud Mohamed Sayed  
 - Cairo :   Moataz Mohsen Gendy Hady ,   2017 
 - 86 P. :   charts , facsimiles ;   30cm 
<br/><br/>Thesis (M.Sc.) - Cairo University -Faculty of Engineering - Department of Electrical Power and Machines Engineering 
<br/><br/> Non-intrusive load monitoring (NILM) method is essential for customer energy  management solutions which can help to obtain energy consumption statistics for appliances.  This information can be further used for load scheduling strategies for optimal energy saving.  We suggested an optimization evolutionary algorithm to estimate the status of household  devices which can be described by binary status, on and off, devices for different time duration.  We evaluate our suggestion of evolutionary optimization algorithms, Genetic Algorithm &  Biogeography Based Optimization Algorithm, by Matlab simulation then compared the output  results as well as the performance of both algorithms 
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<br/><br/><label>Subjects--Index Terms: </label>Load Disaggregation  Non-intrusive load monitoring  Smart meter application