Quantile deep learning model and multi-objective opposition elite marine predator optimization algorithm for wind speed prediction
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Modeling and Simulation
Reference47 articles.
1. Technical challenges associated with the integration of wind power into power systems;Georgilakis;Renew. Sustain. Energy Rev.,2006
2. A scenario optimal reduction method for wind power time series;Li;IEEE Trans. Power Syst.,2016
3. Wind power prediction in new stations based on knowledge of existing stations: a cluster based multi-source domain adaptation approach;Tasnim;Knowl. Based Syst.,2018
4. A review on the forecasting of wind speed and generated power;Lei;Renew. Sustain. Energy Rev.,2009
5. Fault prediction and diagnosis of wind turbine generators using SCADA data;Zhao;Energies,2017
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