Solar and wind forecasting by NARX neural networks
Author:
Publisher
EDP Sciences
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
Link
http://www.rees-journal.org/10.1051/rees/2016047/pdf
Reference14 articles.
1. Lenzi V., Ulbig A., Andersson G., Impact of forecast accuracy on grid integration of renewable energy sources , inProc. IEEE Power Tech. Conf., Grenoble( 2013)
2. Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals
3. Artificial intelligence techniques for sizing photovoltaic systems: A review
4. Solar forecasting methods for renewable energy integration
5. Gupta S., Srinivasan D., Reindl T., Forecasting solar and wind data using dynamic neural network architectures for a micro-grid ensemble, inProc. IEEE Symposium on Computational Intelligence Applications in Smart Grid, Singapore( 2013), Vol. 1, p. 87
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