Application of ANFIS and lifting wavelet transform for classification of solar radiation
| Autor: | N. K. Srinath, Manju Khanna, J.K. Mendiratta |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Work (thermodynamics)
Adaptive neuro fuzzy inference system business.industry Computer science Photovoltaic system Feature extraction Wavelet transform ComputerApplications_COMPUTERSINOTHERSYSTEMS Pattern recognition Radiation Renewable energy Physics::Space Physics Singular value decomposition Astrophysics::Solar and Stellar Astrophysics ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS Astrophysics::Earth and Planetary Astrophysics Artificial intelligence business |
| Zdroj: | International Journal of Renewable Energy Technology. 8:198 |
| ISSN: | 1757-398X 1757-3971 |
| DOI: | 10.1504/ijret.2017.10009894 |
| Popis: | With increase in demand for green energy in commercial applications, need for classification of solar radiation at a site has gained importance. The present work exploits application of wavelet transform and ANFIS to classify solar radiation data, which can be exploited for optimal use of solar radiation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|