State-of-the-art Activity Recognition and Prediction Techniques Applicable to the Home Energy Management System
- Resource Type
- Conference
- Authors
- Hokmabad, Hossein Nourollahi; Belikov, Juri; Husev, Oleksander; Vinnikov, Dmitri
- Source
- 2022 IEEE 7th International Energy Conference (ENERGYCON) Energy Conference (ENERGYCON), 2022 IEEE 7th International. :1-7 May, 2022
- Subject
- Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
Fields, Waves and Electromagnetics
Power, Energy and Industry Applications
Robotics and Control Systems
Conferences
Collaboration
Smart homes
Activity recognition
Behavioral sciences
Reliability
Energy management systems
smart homes
home energy management systems
activity prediction
activity recognition
- Language
Owing to the tendency to convert ordinary homes to smart ones, there are novel opportunities for home energy management systems to exploit the binary and analog sensors collected information to enhance their performance. Having accurate forecasting about the behavior of house inhabitants, and their preferences could help the system be more efficient and reliable. In this paper, some state-of-the-art activity recognition and prediction techniques are reviewed and we introduce a conceptual platform for interactive collaboration between smart homes and energy management systems.