Prediction of wind power based on evolutionary optimised local general regression neural network
Author:
Affiliation:
1. Department of Electrical EngineeringCollege of EngineeringTaif UniversityKSA
2. Department of Electrical EngineeringMenofia UniversityShebin El‐KomEgypt
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2013.0133
Reference42 articles.
1. Wang L. Dong L. Hao Y. Liao X.: ‘Wind power prediction using wavelet transform and chaotic characteristics’.In World Non‐Grid‐Connected Wind Power and Energy Conf. (WNWEC 2009) 2009 pp.1–5
2. A Method for Short-Term Wind Power Prediction With Multiple Observation Points
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