Improved Electricity Portfolio Prediction Based on Optimized Ant Colony Algorithm

Improved Electricity Portfolio Prediction Based on Optimized Ant Colony Algorithm

In order to overcome the shortcomings of the traditional single power forecasting method, the article uses LSTM network, GM model and SVR support vector machine regression model to forecast electricity, and also uses ant colony optimization algorithm to build a new combined forecasting model for the...

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Bibliographic Details
Main Author:	Li Zemin
Format:	Article
Language:	English
Published:	Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2023-01-01
Series:	Tehnički Vjesnik
Subjects:	combinatorial prediction gray prediction neural networks support vector machines
Online Access:	https://hrcak.srce.hr/file/426012

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