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 Plus annual

Presents the access of premium content as premium feature

Premium Content

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 annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Wind speed forecasting is an exciting study because it covers the fields of climate and energy disciplines, where the most widely used research focus is forecasting. During the last decade, the use of wind speed forecasting analysis techniques has seen a significant change from the traditional statistical method to machine learning. in this article discusses publication trends from 1945 to the end of 2020 using co-occurences.

Wind speed forecasting in big data and machine learning: from presents, opportunities and future trends