DIGITAL TWINS IN BUILDING ENERGY MANAGEMENT FOR ELECTRICITY CONSUMPTION FORECASTING AND ENERGY EFFICIENCY IMPROVEMENT

• Datum: 2026
• 1. Verfasser: Shpak, Denys
• Format: Artikel
• Sprache: Englisch
• Veröffentlicht: General Energy Institute of the National Academy of Sciences of Ukraine 2026
• Schlagworte: digital twin; building; electricity consumption forecasting; energy efficiency; IoT; BMS/EMS; machine learning; optimization.
• Online Zugang: https://systemre.org/index.php/journal/article/view/962
• Назва журналу: System Research in Energy

The article examines the application of digital twins as a tool for modernizing building energy management aimed at electricity consumption forecasting and improving energy efficiency. Based on a review of contemporary approaches, the study analyzes how the integration of BIM/semantic models, IoT da...