Wave forecasting using meta-cognitive interval type-2 fuzzy inference system
Renewable energy is fast becoming a mainstay in today’s energy scenario. One of the important sources of renewable energy is the wave energy, in addition to wind, solar, tidal, etc. Wave prediction/forecasting is consequently essential in coastal and ocean engineering studies. However, it is difficu...
Saved in:
Main Authors: | Anh, Nguyen, Prasad, Mukesh, Srikanth, Narasimalu, Sundaram, Suresh |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/90060 http://hdl.handle.net/10220/49428 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Interval prediction of wave energy characteristics using meta-cognitive interval type-2 fuzzy inference system
by: Anh, Nguyen, et al.
Published: (2021) -
Interval type-2 fuzzy logic systems for load forecasting: A comparative study
by: Khosravi, A., et al.
Published: (2014) -
Wind speed intervals prediction using meta-cognitive approach
by: Anh, Nguyen, et al.
Published: (2019) -
RIT2FIS : a recurrent interval type 2 Fuzzy Inference System and its rule base estimation
by: Samanta, Subhrajit, et al.
Published: (2019) -
Modeling capability of type-1 fuzzy set and interval type-2 fuzzy set
by: Nie, M., et al.
Published: (2014)