000			02155cam a2200337 a 4500
003			EG-GiCUC
005			20250223031808.0
008			170917s2017 ua dh f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aM.Sc
099			_aCai01.13.07.M.Sc.2017.Mo.L
100	0		_aMoataz Mohsen Gendy Hady
245	1	0	_aLoad disaggregation smart meters by non- Intrusive load monitoring using Evolutionary algorithms / _cMoataz Mohsen Gendy Hady ; Supervised Essam Eldin Mohamed Abou El Zahab , Mahmoud Mohamed Sayed
246	1	5	_aتفصيل الأحمال بواسطة العدادات الكهربية الذكية بطريقة مراقبة الأحمال الغير تداخلية بإستخدام الخوارزميات التطورية
260			_aCairo : _bMoataz Mohsen Gendy Hady , _c2017
300			_a86 P. : _bcharts , facsimiles ; _c30cm
502			_aThesis (M.Sc.) - Cairo University -Faculty of Engineering - Department of Electrical Power and Machines Engineering
520			_aNon-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
530			_aIssued also as CD
653		4	_aLoad Disaggregation
653		4	_aNon-intrusive load monitoring
653		4	_aSmart meter application
700	0		_aEssam El-Din Mohamed Abouelzahab , _eSupervisor
700	0		_aMahmoud Mohamed Sayed , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aNazla _eRevisor
905			_aShimaa _eCataloger
942			_2ddc _cTH
999			_c62369 _d62369