A Kyiv Private Household Smart Plug Dataset for AI-Driven Digital Twin Modeling of Sustainable Residential Energy Systemshttps://doi.org/10.48788/DVUA/SXITMWBoiko, OlhaAnton, KominParfenenko, YuliiaDataverseUA2026-09-232026-09-23T06:00:55ZThis dataset contains energy consumption data collected for research on energy consumption forecasting and intelligent energy management in hybrid energy systems. The dataset can be used to develop, train, validate, and evaluate machine learning models for short-term electricity consumption forecasting and energy management. It is intended for research in energy informatics, edge AI, TinyML, and smart energy systems.Computer and Information ScienceEnergy consumption--ForecastingArtificial intelligenceReal-time data processingMachine learningTime-series analysisDigital twins (Computer simulation)Komin, A., & Boiko, O. (2025). A privacy-preserving edge data aggregation for TinyML energy forecasting in households. Technology Audit and Production Reserves, 6(2(86), 31–38. https://doi.org/10.15587/2706-5448.2025.339277, doi, 10.15587/2706-5448.2025.339277, https://doi.org/10.15587/2706-5448.2025.3392772026-09-23Olha Boiko2026-09-22Time Series DataCC0 1.0