持有資料: Daily maximum load forecasting of consecutive national holidays using OSELM-based multi-agents system with weighted average strategy

Daily maximum load forecasting of consecutive national holidays using OSELM-based multi-agents system with weighted average strategy

In the previous research, a Multi-Agent System based on Online Sequential Extreme Learning Machine (OSELM) neural network and Bayesian Formalism (MAS-OSELM-BF) has been introduced for solving pattern classification problems. However this model is incapable of handling regression tasks. In this artic...

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Main Authors:	Yap K.S., Yap H.J.
其他作者:	24448864400
格式:	Article
出版:	2023
主題:	Gradient descent Load forecasting Multi-Agent System Online Sequential Extreme Learning Machine Weighted average E-learning Forecasting Learning systems Multi agent systems Neural networks Statistical methods Data regression Electrical load forecasting Final decision Gradient Descent method Individual agent Malaysia Maximum load Multi-agents systems Online sequential extreme learning machine Pattern classification problems Weighted averages article correlation coefficient data analysis forecasting intermethod comparison learning algorithm machine learning mathematical model online sequential extreme learning machine priority journal regression analysis Electric load forecasting
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Daily maximum load forecasting of consecutive national holidays using OSELM-based multi-agents system with weighted average strategy

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