Short-Term Prediction of Solar Photovoltaic Power Generation Using a Digital Twin
Author:
Affiliation:
1. Clemson University,Real-Time Power and Intelligent Systems Laboratory,Holcombe Department of Electrical and Computer Engineering,Clemson,SC,USA,29634
Funder
US NSF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10318157/10318530/10318632.pdf?arnumber=10318632
Reference11 articles.
1. Evaluating neural network and linear regression photovoltaic power forecasting models based on different input methods
2. Review of digital twin about concepts, technologies, and industrial applications
3. Digital twins and their use in future power systems
4. Survey Paper of Digital Twins and their Integration into Electric Power Systems
5. Characterization and modeling of a grid-connected photovoltaic system using a Recurrent Neural Network
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