Paper Info
Title
Wind Speed Prediction with Genetic Algorithm.
Abstract
Nowadays trends pay attention to used renewable energy sources, e.g. wind - wind energy or sun irradiance - solar energy, as a source of electrical power. This kind of energy sources are very unstable and inconstancy (nonstationary) over the time. The proper and accurate wind speed or sun irradiance prediction is necessary to control the power grid. This paper presents short time wind prediction algorithm with genetic column subset selection problem. It uses multiple weather data sources, genetics algorithm for features selection, and the prediction is done by a neural network. The genetic algorithm chooses the most important features for the prediction algorithm.
Year
DOI
Venue
2017
10.1007/978-3-319-65636-6_29
ADVANCES IN INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS, INCOS-2017
Field
DocType
Volume
Electric power,Wind speed,Renewable energy,Computer science,Solar energy,Real-time computing,Irradiance,Energy source,Wind power,Genetic algorithm,Distributed computing
Conference
8
ISSN
Citations 
PageRank 
2367-4512
0
0.34
References 
Authors
4
1
Name
Order
Citations
PageRank
Michal Prilepok1326.45