Application for Efficient Management of Renewable Electrical Energy Using Decision Tree Algorithm

N. Kiktev, Hryhorii Hnatiienko, Ruslan S. Rakhmedov, Pavel Mazurchuk
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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.
决策树算法在可再生电能高效管理中的应用
本文介绍了为有效利用可再生能源而开发的信息系统,该系统提供了气象信息的存储和关于适当使用能源的决策。在ARIMA模型的基础上进行了发电功率的计算和预测。该数据库建立在关系数据模型之上;使用PHP编程语言和phpMyAdmin数据库管理系统进行程序开发。互联网服务谷歌Map API(用于确定定居点中电力回收源的位置坐标)和Weatherbit。IO(确定天气)也被使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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