Autors: Stankov, I. S., Perçuku A. Sh.
Title: The Prediction of Weather’s Data for Wind Power System Using Graph Database
Keywords: weather data, wind power system, graph database Neo4j algorithm

Abstract: The modern power system is evolving by using new technologies that can produce large amounts of data from various devices. Big Data and data analytics can play important role in the power system to improve the prediction of weather’s data conditions. Better prediction of the weather data is important to design and adjust optimization of power system planning. The aim of this paper is to use Neo4j Graph Algorithms Library to improve the prediction of weather’s data for wind power system.

References

    Issue

    29th National Conference with International Participation "Telecom 2021", 2021, Bulgaria, DOI 10.1109/TELECOM53156.2021.9659599

    Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus