Article (Scientific journals)
Adaptive local learning techniques for multiple-step-ahead wind speed forecasting
Vaccaro, Alfredo; Bontempi, Gianluca; Ben taieb, Souhaib et al.
2012In Electric Power Systems Research, 83 (1), p. 129 - 135
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Keywords :
Data analysis; Intelligent systems; Learning techniques; Wind forecasting; Adaptive local learning; Black boxes; Electrical grids; Grey-box; Integrating machines; Knowledge modeling; Local learning; Massive deployment; Medium term; Meteorological sensors; Network operations; Nonhydrostatic model; Original model; Side effect; Small-scale modeling; Wind generators; Wind speed forecasting; Energy Engineering and Power Technology; Electrical and Electronic Engineering
Abstract :
[en] A massive deployment of wind energy in power systems is expected in the near future. However, a still open issue is how to integrate wind generators into existing electrical grids by limiting their side effects on network operations and control. In order to attain this objective, accurate short and medium-term wind speed forecasting is required. This paper discusses and compares a physical (white-box) model (namely a limited-area non hydrostatic model developed by the European consortium for small-scale modeling) with a family of local learning techniques (black-box) for short and medium term forecasting. Also, an original model integrating machine learning techniques with physical knowledge modeling (grey-box) is proposed. A set of experiments on real data collected from a set of meteorological sensors located in the south of Italy supports the methodological analysis and assesses the potential of the different forecasting approaches. © 2011 Elsevier B.V. All rights reserved.
Disciplines :
Computer science
Author, co-author :
Vaccaro, Alfredo;  Universit Degli Studi Del Sannio, Dipartimento di Ingegneria, Benevento, Italy
Bontempi, Gianluca;  Machine Learning Group, Computer Science Department, Université Libre de Bruxelles, Belgium
Ben taieb, Souhaib  ;  Université de Mons - UMONS > Faculté des Sciences > Service Big Data and Machine Learning
Villacci, Domenico;  Universit Degli Studi Del Sannio, Dipartimento di Ingegneria, Benevento, Italy
Language :
English
Title :
Adaptive local learning techniques for multiple-step-ahead wind speed forecasting
Publication date :
February 2012
Journal title :
Electric Power Systems Research
ISSN :
0378-7796
eISSN :
1873-2046
Publisher :
Elsevier BV
Volume :
83
Issue :
1
Pages :
129 - 135
Peer reviewed :
Peer Reviewed verified by ORBi
Research unit :
S861 - Big Data and Machine Learning
Research institute :
Infortech
Complexys
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