Deterministic and Probabilistic Wind Power Forecasting Based on Bi-Level Convolutional Neural Network and Particle Swarm Optimization

Deterministic and Probabilistic Wind Power Forecasting Based on Bi-Level Convolutional Neural Network and Particle Swarm Optimization

The intermittency and uncertainty of wind power result in challenges for large-scale wind power integration. Accurate wind power prediction is becoming increasingly important for power system planning and operation. In this paper, a probabilistic interval prediction method for wind power based on de...

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Bibliographic Details
Main Authors: Xiyun Yang, Yanfeng Zhang, Yuwei Yang, Wei Lv
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Applied Sciences
Subjects:
wind power forecasting
convolutional neural network
variational mode decomposition
phase space construction
particle swarm optimization
Online Access:https://www.mdpi.com/2076-3417/9/9/1794

Internet

https://www.mdpi.com/2076-3417/9/9/1794

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