Table of Contents Author Guidelines Submit a Manuscript
Table of Contents Alerts

To receive news and publication updates for Complexity, enter your email address in the box below.

Complexity
Volume 2018 (2018), Article ID 9327536, 10 pages
https://doi.org/10.1155/2018/9327536
Research Article

Using Deep Learning to Predict Complex Systems: A Case Study in Wind Farm Generation

J. M. Torres and R. M. Aguilar

Department of Computer and Systems Engineering, Universidad de La Laguna, La Laguna 38200 Tenerife, Spain

Correspondence should be addressed to R. M. Aguilar; se.ude.llu@raliugar

Received 30 November 2017; Accepted 25 February 2018; Published 3 April 2018

Academic Editor: José Manuel Andújar

Copyright © 2018 J. M. Torres and R. M. Aguilar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

J. M. Torres and R. M. Aguilar, “Using Deep Learning to Predict Complex Systems: A Case Study in Wind Farm Generation,” Complexity, vol. 2018, Article ID 9327536, 10 pages, 2018. doi:10.1155/2018/9327536