Digital Transformation Using Artificial Intelligence and Machine Learning: An Electrical Energy Consumption Case

被引:5
作者
Podgorelec, Vili [1 ,2 ]
Karakatic, Saso [1 ]
Fister, Iztok, Jr. [1 ]
Brezocnik, Lucija [1 ]
Pecnik, Spela [1 ]
Vrbancic, Grega [1 ]
机构
[1] Univ Maribor, Fac Elect Engn & Comp Sci, Intelligent Syst Lab, Maribor, Slovenia
[2] Univ Maribor, Fac Elect Engn & Comp Sci, Koroska Cesta 46, SLO-2000 Maribor, Slovenia
来源
NEW TECHNOLOGIES, DEVELOPMENT AND APPLICATION V | 2022年 / 472卷
关键词
Digital transformation; Artificial intelligence; Machine learning; Power engineering; Electrical energy consumption; Prediction;
D O I
10.1007/978-3-031-05230-9_59
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Companies nowadays eagerly compete in providing their customers with the best possible services, where the companies in the electrical energy market are no exception. As artificial intelligence and machine learning are considered the fundamental multi-purpose technologies and the innovation entity with the most significant potential for disruption, the companies strive to adopt these technologies and integrate them into their business processes. To test the possibilities for the introduction of AI and ML methods in their information system and business processes, we established a pilot project with a company operating in the electrical energy domain. An electrical energy consumption forecasting model has been developed alongside with some additional components. The obtained results show that a proper use of AI and ML methods can offer means for providing new and advanced services to different kinds of company's customers.
引用
收藏
页码:498 / 504
页数:7
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