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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主要な著者: | Mat Daut, Mohammad Azhar, Hassan, Mohammad Yusri, Abdullah, Hayati, Abdul Rahman, Hasimah, Abdullah, Md. Pauzi, Hussin, Faridah |
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フォーマット: | 論文 |
言語: | English |
出版事項: |
Penerbit UTM Press
2017
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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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