Optimization of Windspeed Prediction Using an Artificial Neural Network Compared With a Genetic Programming Model

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InCollection{Deo:2020:IRMA,

• author = "Ravinesh C. Deo and Sujan Ghimire and Nathan J. Downs and Nawin Raj",
• title = "Optimization of Windspeed Prediction Using an Artificial Neural Network Compared With a Genetic Programming Model",
• booktitle = "Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms",
• publisher = "IGI Global",
• year = "2020",
• chapter = "7",
• pages = "116--147",
• month = dec,
• note = "Information Resources Management Association",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "9781799880486",
• DOI = "doi:10.4018/978-1-7998-8048-6",
• DOI = "doi:10.4018/978-1-7998-8048-6.ch007",
• abstract = "The precise prediction of windspeed is essential in order to improve and optimize wind power prediction. However, due to the sporadic and inherent complexity of weather parameters, the prediction of windspeed data using different patterns is difficult. Machine learning (ML) is a powerful tool to deal with uncertainty and has been widely discussed and applied in renewable energy forecasting. In this chapter, the authors present and compare an artificial neural network (ANN) and genetic programming (GP) model as a tool to predict windspeed of 15 locations in Queensland, Australia. After performing feature selection using neighborhood component analysis (NCA) from 11 different metrological parameters, seven of the most important predictor variables were chosen for 85 Queensland locations, 60 of which were used for training the model, 10 locations for model validation, and 15 locations for the model testing. For all 15 target sites, the testing performance of ANN was significantly superior to the GP model.",
• notes = "https://www.igi-global.com/book/research-anthology-multi-industry-uses/267374",

}

Genetic Programming entries for Ravinesh C Deo Sujan Ghimire Nathan J Downs Nawin Raj

Citations