English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Modeling wind speed is one of the key element when dealing with theproduction of energy through wind turbines. A good model can be used forforecasting, site evaluation, turbines design and many other purposes. In thiswork we are interested in the analysis of the future financial cash flowsgenerated by selling the electrical energy produced. We apply an indexedsemi-Markov model of wind speed that has been shown, in previous investigation,to reproduce accurately the statistical behavior of wind speed. The model isapplied to the evaluation of financial indicators like the Internal Rate ofReturn, semi-Elasticity and relative Convexity that are widely used for theassessment of the profitability of an investment and for the measurement andanalysis of interest rate risk. We compare the computation of these indicatorsfor real and synthetic data. Moreover, we propose a new indicator that can beused to compare the degree of utilization of different power plants.

Performance Indicators of Wind Energy Production