Improved Wind Power Generation Prediction through Novel Linear Regression over Ridge Regression
Author:
Affiliation:
1. Saveetha Institute of Medical and Technical Sciences,Saveetha School of Engineering,Dept of CSE,Chennai,India
2. Saveetha Institute of Medical and Technical Sciences,Saveetha School of Engineering,Department of ECE,Chennai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10550186/10550954/10551193.pdf?arnumber=10551193
Reference12 articles.
1. Ultra Short-Term Wind Power Forecasting Based on Sparrow Search Algorithm Optimization Deep Extreme Learning Machine
2. Examining the trends of 35 years growth of key wind turbine components
3. A Short-Term Solar Photovoltaic Power Optimized Prediction Interval Model Based on FOS-ELM Algorithm
4. A review on development of offshore wind energy conversion system
5. Improving short-term wind power prediction using hybrid improved cuckoo search arithmetic - Support vector regression machine
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1. Short-Term Wind Power Prediction Based on Multi-Feature Domain Learning;Energies;2024-07-05
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