A Short-Term Wind Speed Forecasting Model by Using Artificial Neural Networks with Stochastic Optimization for Renewable Energy Systems

A Short-Term Wind Speed Forecasting Model by Using Artificial Neural Networks with Stochastic Optimization for Renewable Energy Systems

To efficiently manage unstable wind power generation, precise short-term wind speed forecasting is critical. To overcome the challenges in wind speed forecasting, this paper proposes a new convolutional neural network algorithm for short-term forecasting. In this paper, the forecasting performance o...

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Bibliographic Details
Main Authors: Chiou-Jye Huang, Ping-Huan Kuo
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Energies
Subjects:
artificial neural network
wind speed forecasting
wind energy
power system
energy management
Online Access:http://www.mdpi.com/1996-1073/11/10/2777

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