Study on Ultra-short Term Distributed Photovoltaic Power Forecasting in the Haze Day Based on All-sky Images Combined with Support Vector Regression
Author:
Affiliation:
1. Southeast University,Nanjing,China,210003
2. China Electric Power Research Institute,Renewable Energy Research Center,Nanjing,China,210003
3. Electric Power Research Institute,State Grid Shanxi Electric Power Company,Taiyuan,China,030012
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10141985/10142069/10142099.pdf?arnumber=10142099
Reference17 articles.
1. Feature Extraction from Whole-Sky Ground-Based Images for Cloud-Type Recognition
2. Digital Image Processing;gonzalez,2007
3. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
4. Solar photovoltaic power generation application technology;yang,2009
5. A Very Short-term Prediction Model for Photovoltaic Power Based on Total sky images;chen;Automation of Electric Power Systems,2013
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