A Deep Learning Approach for Climate Parameter Estimations and Renewable Energy Sources
Author:
Affiliation:
1. University G. d’Annunzio of Chieti-Pescara,Engineering and Geology Department,Viale Pindaro 42,Pescara,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10385234/10386078/10386617.pdf?arnumber=10386617
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4. Parameterization-Induced Error Characteristics of MM5 and WRF Operated in Climate Mode over the Alpine Region: An Ensemble-Based Analysis
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