N. Kiktev, Hryhorii Hnatiienko, Ruslan S. Rakhmedov, Pavel Mazurchuk
{"title":"Application for Efficient Management of Renewable Electrical Energy Using Decision Tree Algorithm","authors":"N. Kiktev, Hryhorii Hnatiienko, Ruslan S. Rakhmedov, Pavel Mazurchuk","doi":"10.1109/PICST57299.2022.10238511","DOIUrl":null,"url":null,"abstract":"The article describes the developed information system for the efficient use of renewable energy sources, which provides storage of meteorological information and decision-making on the appropriateness of using an energy source. The calculation of the power of the generated energy, as well as its forecasting, is performed on the basis of the ARIMA model. The database is built on a relational data model; the programming language PHP and the phpMyAdmin database management system were used to develop the program. The Internet services Google Map API (to determine the location coordinates of the recovery sources of electricity in a settlement) and Weatherbit.io (to determine the weather) were also used.","PeriodicalId":330544,"journal":{"name":"2022 IEEE 9th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 9th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PICST57299.2022.10238511","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The article describes the developed information system for the efficient use of renewable energy sources, which provides storage of meteorological information and decision-making on the appropriateness of using an energy source. The calculation of the power of the generated energy, as well as its forecasting, is performed on the basis of the ARIMA model. The database is built on a relational data model; the programming language PHP and the phpMyAdmin database management system were used to develop the program. The Internet services Google Map API (to determine the location coordinates of the recovery sources of electricity in a settlement) and Weatherbit.io (to determine the weather) were also used.