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Article

Novel Parallel Heterogeneous Meta-Heuristic and Its Communication Strategies for the Prediction of Wind Power

1
College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
2
School of Software, Nanyang Institute of Technology, Nanyang 473004, China
*
Author to whom correspondence should be addressed.
Processes 2019, 7(11), 845; https://doi.org/10.3390/pr7110845
Received: 17 October 2019 / Revised: 7 November 2019 / Accepted: 7 November 2019 / Published: 11 November 2019
(This article belongs to the Special Issue Optimization Algorithms Applied to Sustainable Production Processes)
Wind and other renewable energy protects the ecological environment and improves economic efficiency. However, it is difficult to accurately predict wind power because of the randomness and volatility of wind. This paper proposes a new parallel heterogeneous model to predict the wind power. Parallel meta-heuristic saves computation time and improves solution quality. Four communication strategies, which include ranking, combination, dynamic change and hybrid, are introduced to balance exploration and exploitation. The dynamic change strategy is to dynamically increase or decrease the members of subgroup to keep the diversity of the population. The benchmark functions show that the algorithms have excellent performance in exploration and exploitation. In the end, they are applied to successfully realize the prediction for wind power by training the parameters of the neural network. View Full-Text
Keywords: wind power; parallel; heterogeneous; communication strategies; dynamic change; prediction; neural network wind power; parallel; heterogeneous; communication strategies; dynamic change; prediction; neural network
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MDPI and ACS Style

Pan, J.-S.; Hu, P.; Chu, S.-C. Novel Parallel Heterogeneous Meta-Heuristic and Its Communication Strategies for the Prediction of Wind Power. Processes 2019, 7, 845. https://doi.org/10.3390/pr7110845

AMA Style

Pan J-S, Hu P, Chu S-C. Novel Parallel Heterogeneous Meta-Heuristic and Its Communication Strategies for the Prediction of Wind Power. Processes. 2019; 7(11):845. https://doi.org/10.3390/pr7110845

Chicago/Turabian Style

Pan, Jeng-Shyang, Pei Hu, and Shu-Chuan Chu. 2019. "Novel Parallel Heterogeneous Meta-Heuristic and Its Communication Strategies for the Prediction of Wind Power" Processes 7, no. 11: 845. https://doi.org/10.3390/pr7110845

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