Toward Smart Energy Systems: The Case of Relevance Vector Regression Models in Hourly Solar Power Forecasting
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-22371-6_6
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3. Ren, Y., Suganthan, P., Srikanth, N.: Ensemble methods for wind and solar power forecasting—a state-of-the-art review. Renew. Sustain. Energy Rev. 50, 82–91 (2015)
4. Bessa, R., Trindade, A., Silva, C.S., Miranda, V.: Probabilistic solar power forecasting in smart grids using distributed information. Int. J. Electr. Power Energy Syst. 72, 16–23 (2015)
5. ISO New England. https://www.iso-ne.com/. Accessed 2 Apr 2022
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