A new finite mixture distribution and its expectation-maximization procedure for extreme wind speed characterization-Reference-Cited by-同舟云学术

A new finite mixture distribution and its expectation-maximization procedure for extreme wind speed characterization

Published:2017-12 Issue: Volume:113 Page:1366-1377
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Bracale Antonio,Carpinelli Guido,De Falco Pasquale^ORCID

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference38 articles.

1. Analyzing major challenges of wind and solar variability in power systems;Ueckerdt;Renew. Energy,2015

2. Weather Matters for Energy;Troccoli,2014

3. Global Wind Energy Council, Global Wind Report: Annual Market Update 2015, Available online: http://www.gwec.net/wp-content/uploads/vip/GWEC-Global-Wind-2015-Report_April-2016_22_04.pdf (Accessed on 21 November 2016).

4. Gestore dei Servizi Energetici website: http://www.gse.it/it/Pages/default.aspx (Accessed on 21 November 2016).

5. Power quality in the future grid — results from CIGRE/CIRED JWG C4.24;Zavoda,2016

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparison of probability distributions used for harnessing the wind energy potential: a case study from India;Stochastic Environmental Research and Risk Assessment;2024-03-04

2. Copula-based JPDF of wind speed, wind direction, wind angle, and temperature with SHM data;Probabilistic Engineering Mechanics;2023-07

3. Wind load assessment with the JPDF of wind speed and direction based on SHM data;Structures;2023-01

4. Energetics Systems and artificial intelligence: Applications of industry 4.0;Energy Reports;2022-11

5. Estimation of wind speed distribution with time window and new kernel function;Journal of Renewable and Sustainable Energy;2022-09