A Short-term PV Power Forecasting Method based on NWP Correction Considering Meteorological Coupling Correlation
Author:
Affiliation:
1. Institute of Science and Technology,China Three Gorges Corporation,Beijing,China,100038
2. North China Electric Power University,Department of Electrical Engineering,Baoding,China,071003
Funder
China Three Gorges Corporation
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10141985/10142069/10142105.pdf?arnumber=10142105
Reference27 articles.
1. Frequency-Domain Decomposition and Deep Learning Based Solar PV Power Ultra-Short-Term Forecasting Model
2. Cloud Feature Extraction and Fluctuation Pattern Recognition Based Ultrashort-Term Regional PV Power Forecasting
3. Statistical learning for NWP post-processing: A benchmark for solar irradiance forecasting
4. A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework
5. PV-Load Decoupling Based Demand Response Baseline Load Estimation Approach for Residential Customer With Distributed PV System
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