May 31, 2017 · In this paper, a hybrid learning approach, which combines the extreme learning machine (ELM) with a new switching delayed PSO (SDPSO) algorithm, is proposed
In this paper, a hybrid learning approach, which combines the extreme learning machine (ELM) with a new switching delayed PSO (SDPSO) algorithm, ...
A novel particle swarm optimization (PSO) algorithm is proposed in order to improve the accuracy of the traditional support vector machine (SVM) approaches ...
In this paper, a hybrid learning approach, which combines the extreme learning machine (ELM) with a new switching delayed PSO (SDPSO) algorithm, ...
Bibliographic details on A switching delayed PSO optimized extreme learning machine for short-term load forecasting.
This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of ...
An intelligent hybrid short-term load forecasting model optimized by switching delayed PSO of micro-grids. March 2018; Journal of Renewable and Sustainable ...
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Apr 26, 2018 · In order to achieve better performance, the parameters of the prediction models are optimized by Switching Delayed PSO (SDPSO). Finally, three ...
A switching delayed PSO optimized extreme learning machine for ...
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A switching delayed PSO optimized extreme learning machine for short-term load forecasting. Nianyin Zeng, Hong Zhang, Weibo Liu, Jinling Liang, Fuad E. Alsaadi.
Jan 25, 2024 · This study emphasizes new research on long short-term memory (LSTM) algorithms related to particle swarm optimization (PSO) inside this area of short-term load ...