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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書誌詳細
主要な著者: Mat Daut, Mohammad Azhar, Hassan, Mohammad Yusri, Abdullah, Hayati, Abdul Rahman, Hasimah, Abdullah, Md. Pauzi, Hussin, Faridah
フォーマット: 論文
言語:English
出版事項: Penerbit UTM Press 2017
主題:
オンライン・アクセス: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
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