Wind Power Forecasting by the BP Neural Network with the Support of Machine Learning

The goal of the research is to increase the accuracy of wind power forecasts while maintaining the power system’s stability and safety. First, the wireless sensor network (WSN) is used to collect the meteorological data of wind power plants in real time. Second, the real-time data collected by WSN a...

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Bibliographic Details
Published in:	Mathematical problems in engineering Vol. 2022; pp. 1 - 10
Main Authors:	Tian, Weihua, Bao, Yan, Liu, Wei
Format:	Journal Article
Language:	English
Published:	New York Hindawi 28.04.2022 John Wiley & Sons, Inc
Subjects:	Accuracy Algorithms Artificial intelligence Artificial neural networks Back propagation networks Deep learning Electromagnetic radiation Energy Machine learning Mathematical models Meteorological data Methods Neural networks Optimization Power plants Real time Receiving Root-mean-square errors Sensors Signal reception Signal strength Turbines Weather forecasting Wind power Wireless communications Wireless networks Wireless sensor networks
ISSN:	1024-123X, 1563-5147
Online Access:	Get full text
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