Generation and evaluation of space–time trajectories of photovoltaic power
In the probabilistic energy forecasting literature, emphasis is mainly placed on deriving marginal predictive densities for which each random variable is dealt with individually. Such marginals description is sufficient for power systems related operational problems if and only if optimal decisions...
Saved in:
Main Authors: | Golestaneh, Faranak, Gooi, Hoay Beng, Pinson, Pierre |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/83604 http://hdl.handle.net/10220/42737 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Uncertainty quantification of photovoltaic power generation
by: Faranak Golestaneh
Published: (2017) -
Polyhedral predictive regions for power system applications
by: Golestaneh, Faranak, et al.
Published: (2019) -
State-space digital PID controller design for linear stochastic multivariable systems with input delay
by: Zhou, H.-Q., et al.
Published: (2014) -
State-space digital PI controller design for linear stochastic multivariable systems with input delay
by: Zhou, H.-Q., et al.
Published: (2014) -
Numerical evaluation of singular multivariate normal distributions
by: Genz, A., et al.
Published: (2014)