Return
Assessing wind speed simulation methods
DOI:10.1016/j.rser.2015.11.094.png)
Abstract
En 中文
In this paper simulation methods of wind speed series at different locations are reviewed. Over the last few decades wind farms (WF) have increasingly been introduced into electric power systems (EPS) in many countries. The strong relationship between wind speed and the power generated by a wind energy converter (WEC) has led researchers to reflect on the need to develop adequate models for simulating wind speed data. In recent years some proposals to meet this need have been published in the literature, and this paper aims to gather and discuss them. (C) 2015 Elsevier Ltd. All rights reserved.
Keywords:
Wind speed
Weibull distribution
Rayleigh distribution
Correlation
Autoregressive model
Markov process
Autocorrelation
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
16.3
Papers:
1.6W
Citations:
18.5W
Organization
Cited Papers
A stochastic Markov chain model for simulating wind speed time series at Tangiers, Morocco
RENEWABLE ENERGY
IF9.1
Statistical bivariate modelling of wind using first-order Markov chain and Weibull distribution
RENEWABLE ENERGY
IF9.1
Wind speed and wind energy forecast through Kalman filtering of Numerical Weather Prediction model output
APPLIED ENERGY
IF11

