Integration of Social Behavioral Modeling for Energy Optimization in Smart Environments
A key requirement for success of smart home energy management systems is understanding the user's psychological perception of a smart environments, and the design of control strategies that specifically take into account such dimensions in system operation. We discuss how our research develops psychological models and integrates them with optimization and machine learning techniques to realize social and behavioral aware energy optimization methodologies for smart homes.
Silvestri, S., Baker, D. A., & Dolce, V. (2017). Integration of Social Behavioral Modeling for Energy Optimization in Smart Environments. Proceedings of 2nd International Workshop on Social Sensing (2017, Pittsburgh, PA)
The definitive version is available at https://doi.org/10.1145/3055601.3055618
2nd International Workshop on Social Sensing (2017: Apr. 18-21, Pittsburgh, PA)
International Standard Book Number (ISBN)
Article - Conference proceedings
01 Apr 2017