Study of forecasting renewable energies in smart grids using linear predictive filters and neural ne...
Study of forecasting renewable energies in smart grids using linear predictive filters and neural networks
About this item
Full title
Author / Creator
Publisher
Stevenage: The Institution of Engineering & Technology
Journal title
Language
English
Formats
Publication information
Publisher
Stevenage: The Institution of Engineering & Technology
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Scope and Contents
Contents
Accurate forecasting of renewable energies, such as wind and solar has become one of the most important issues in developing smart grids. Therefore, introducing suitable means of weather forecasting with acceptable precision becomes a necessary task in today's changing power world. In this work, an intelligent way for hourly estimation of both wind...
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Full title
Study of forecasting renewable energies in smart grids using linear predictive filters and neural networks
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_miscellaneous_1660044964
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1660044964
Other Identifiers
ISSN
1752-1416
E-ISSN
1752-1424
DOI
10.1049/iet-rpg.2010.0104
