Combinatorial method for bandwidth selection in wind speed kernel density estimation
Accurate estimation of wind speed probability density at a given site is crucial in maximising the yield of a wind farm. This goal calls for devising probabilistic models with adaptive algorithms that accurately fit wind speed distributions. In this study, a non-parametric combinatorial method is im...
Saved in:
| Main Author: | El Dakkak, Omar (author) |
|---|---|
| Published: |
2019
|
| Online Access: | http://hdl.handle.net/20.500.12458/365 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparison of methods for estimating density and population trends for low-density Asian bears
by: Dana J., Morin
Published: (2022) -
THE IMPACT OF WIND SPEED MODELING ON THE RELIABILITY OF MICROGRIDS
by: unknown
Published: (2020) -
Optimizing the Power Generation of a Wind Farm in Low Wind Speed Regions
by: M. Taleb, Hanan
Published: (2021) -
Approximate differentiator with varying bandwidth. (c2019)
by: Jaafar, Rayana Hussein
Published: (2019) -
Throughput-Delay Analysis of Interrupt-Driven Kernels with DMA Enabled and Disabled in High-Speed Networks
by: Salah, Khaled
Published: (2006)