o:30522 Integration and management of RES energy sources en The digital transformation of the electricity sector from traditional electric grids to smart grids [1] is driven by multiple factors [2], while the emerging information technologies (e.g., Big data, semantic technologies, machine learning algorithms) play a relevant role of automation and control of the energy value chain. Despite recognized as crucial applications for efficiently generating and consuming energy, Big data applications in the energy domain are still underdeveloped and fragmented. Challenges related to controlled data exchange and data integration are still not fully achieved. Hence, the fragmented applications are developed against energy data silos, and data exchange is limited. After the announcement of the Google Knowledge Graph [3] in 2012, semantic technologies and knowledge graphs (KGs) gained in popularity. They have been applied in various domains, especially to enhance the integration of distributed resources over the Internet, e.g., for facilitating product/service discovery [4], managing business registers and company data [5], managing drug data [6], or emergency management [7]. In this technical solution, the authors propose tools for managing data and deriving knowledge [8] in the energy sector aimed at specifying new business models. 2023-08-02T10:57:54.935Z 44 no 46 Valentina Janev Institut Mihajlo Pupin 0000-0002-9794-8505 Dea Pujic Institut Mihajlo Pupin person 0000-0002-3934-6346 Lazar Berbakov Institut Mihajlo Pupin person 0000-0002-9628-2967 Marko Batić Institut Mihajlo Pupin person 0000-0002-8443-3932 Nikola Tomašević Institut Mihajlo Pupin person 0000-0002-6620-479X application/pdf 2447333 https://phaidrabg.bg.ac.rs/o:30522 no yes 1 70 1552260 11A20 Integration and management of RES energy sources 2022