Load disaggregation smart meters by non- Intrusive load monitoring using Evolutionary algorithms / Moataz Mohsen Gendy Hady ; Supervised Essam Eldin Mohamed Abou El Zahab , Mahmoud Mohamed Sayed
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TextLanguage: English Publication details: Cairo : Moataz Mohsen Gendy Hady , 2017Description: 86 P. : charts , facsimiles ; 30cmOther title: - تفصيل الأحمال بواسطة العدادات الكهربية الذكية بطريقة مراقبة الأحمال الغير تداخلية بإستخدام الخوارزميات التطورية [Added title page title]
- Issued also as CD
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Thesis
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قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.07.M.Sc.2017.Mo.L (Browse shelf(Opens below)) | Not for loan | 01010110072469000 | ||
CD - Rom
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مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.07.M.Sc.2017.Mo.L (Browse shelf(Opens below)) | 72469.CD | Not for loan | 01020110072469000 |
Thesis (M.Sc.) - Cairo University -Faculty of Engineering - Department of Electrical Power and Machines Engineering
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
Issued also as CD
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