Abstract
The paper presents the application of Data Mining techniques for the assessment of wind energy resources at Lodz Hills (Wzniesienia Lodzkie). The measurements taken at a meteorological station, as well as long-term data from meteorological reanalysis were used as the input data. Linear regression, neural networks and support vector networks were used to obtain a long-term forecast of potential wind energy resources. According to the European and Polish recommendations specifying the suitability of land for wind turbines installation in terms of wind conditions, the obtained forecast confirmed the purposefulness of localization of such installations in the examined area. The purposefulness of applying Data Mining methods for solving problems related to the assessment of wind energy resources was also confirmed.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
