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

The power system is constantly upgraded with the development of information technology. The digital management of power system effectively improves the operation and maintenance efficiency of power system. Although the current power system algorithms have made great progress, there has been no effective prediction algorithm in the field of load forecasting. Load forecasting is a key operation and planning approach of power system. It affects many decisions of power system, such as economic dispatching, automatic generation control, safety evaluation, maintenance dispatching and energy commercialization [1]. In view of the above problems, the power load forecasting algorithm of power system based on artificial firefly will be studied. In the existing resource management framework of power system digital grid platform, the power load business of power system is studied. The artificial firefly algorithm is used to complete the research of power load forecasting algorithm. Simulation results show that the established algorithm has good time complexity and space complexity, and the accuracy of power load forecasting results is improved by at least 22.8%.

Research on power load forecasting algorithm of power system based on artificial firefly