المقتنيات: An improved building load forecasting method using a combined least square support vector machine and modified artificial bee colony

An improved building load forecasting method using a combined least square support vector machine and modified artificial bee colony

This paper presents an improved building load forecasting method using a combined Least Square Support Vector Machine and modified Artificial Bee Colony. The main contribution of the proposed method is the improvement in the exploitation capability of the standard Artificial Bee Colony, in which a d...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Mat Daut, Mohammad Azhar, Hassan, Mohammad Yusri, Abdullah, Hayati, Abdul Rahman, Hasimah, Abdullah, Md. Pauzi, Hussin, Faridah
التنسيق:	مقال
اللغة:	English
منشور في:	Penerbit UTM Press 2017
الموضوعات:	TK Electrical engineering. Electronics Nuclear engineering
الوصول للمادة أونلاين:	http://eprints.utm.my/id/eprint/80307/1/MohammadYusriHassan2017_AnImprovedBuildingLoadForecasting.pdf http://eprints.utm.my/id/eprint/80307/ https://elektrika.utm.my/index.php/ELEKTRIKA_Journal/article/view/22
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

الانترنت

http://eprints.utm.my/id/eprint/80307/1/MohammadYusriHassan2017_AnImprovedBuildingLoadForecasting.pdf
http://eprints.utm.my/id/eprint/80307/
https://elektrika.utm.my/index.php/ELEKTRIKA_Journal/article/view/22

An improved building load forecasting method using a combined least square support vector machine and modified artificial bee colony

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