Short-Term Photovoltaic Power Prediction Based on Similar-Day Clustering and Multi-Layer Perception
Author:
Affiliation:
1. Shandong Electric Power Engineering Consulting Institute CORP.LTD,Jinan,China
2. School of Physics and Technology, University of Jinan,Jinan,China
Funder
National Key R&D Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10294329/10294332/10295051.pdf?arnumber=10295051
Reference16 articles.
1. SolarNet: A hybrid reliable model based on convolutional neural network and variational mode decomposition for hourly photovoltaic power forecasting
2. Short-term power output prediction of photovoltaic based on combined grey neural network model;wang;Power System Automation,2012
3. Output power prediction of photovoltaic arrays based on similar day and radial basis function neural networks;wang;Power Automation Equipment,2013
4. Multi-channel convolutional neural network for integration of meteorological and geographical features in solar power forecasting
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