Research on Power Load Prediction of Unmanned Boats Based on PSO-SVM
Author:
Affiliation:
1. Tianjin Navigational Instrument Research Institute,TianJin,China,300131
2. Dalian Shipbuilding Industry Group Design and Research Institute Co., Ltd,Dalian,China,116011
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10574856/10574899/10575483.pdf?arnumber=10575483
Reference8 articles.
1. A Fault Detection and Health Monitoring Scheme for Ship Propulsion Systems using SVM Technique;Jing;IEEE Access,2018
2. Short-term power load forecasting based on improved PSO-SVM;Yijun;Electrical Measurement & Instrumentation,2015
3. Research on Power Load Forecasting Based on the Improved Elman Neural Network;Zhang;Chemical Engineering Transactions
4. Short-term power load forecasting based on least square support vector machine optimized by NRS and PSO algorithms;Nanyan;Modern Electronics Technique,2019
5. Application of Fault Detection and Isolation Techniques on an Unmanned Surface Vehicle (USV)
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