Clustering-based Multitasking Deep Neural Network for Solar Photovoltaics Power Generation Prediction
Author:
Affiliation:
1. Hangzhou Dianzi University,School of Cyberspace,Hangzhou,China
2. RMIT University,School of Engineering,Melbourne,VIC,Australia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650238.pdf?arnumber=10650238
Reference28 articles.
1. Comparison of machine learning methods for photovoltaic power forecasting based on numerical weather prediction
2. Multi-objective battery energy storage optimization for virtual power plant applications
3. A multi-step ahead photovoltaic power prediction model based on similar day, enhanced colliding bodies optimization, variational mode decomposition, and deep extreme learning machine
4. A theory-guided deep-learning method for predicting power generation of multi-region photovoltaic plants
5. A prediction model for the performance of solar photovoltaic-thermoelectric systems utilizing various semiconductors via optimal surrogate machine learning methods
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