作者: RJ Bessa , P Pinson , G Kariniotakis , D Srinivasan , C Smith
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摘要: Table of Contents Page 1 APRIL 2022 VOLUME 13 NUMBER 2 ITSEAJ (ISSN 1949-3029) SPECIAL SECTION ON ADVANCES IN RENEWABLE ENERGY FORECASTING: PREDICTABILITY, BUSINESS MODELS AND APPLICATIONS IN THE POWER INDUSTRY EDITORIAL Guest Editorial for the Special Section on Advances in Renewable Energy Forecasting: Predictability, Business Models and Applications in the Power Industry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ..................... RJ Bessa, P. Pinson, G. Kariniotakis, D. Srinivasan, C. Smith, N. Amjady, and H. Zareipour 1166 SPECIAL SECTION PAPERS Bayesian CNN-BiLSTM and Vine-GMCM Based Probabilistic Forecasting of Hour-Ahead Wind Farm Power Outputs .............. .............. M. Zou, N. Holjevac, J. Đakovic, I. Kuzle, R. Langella, VD Giorgio, and SZ Djokic 1169 A New Solar Power Prediction Method Based on …