A Deep Learning approach for Energy Disaggregation considering Embedded Devices.
Eduardo G. SantosCristopher G. S. FreitasAndré L. L. de AquinoPublished in: SBESC (2019)
Keyphrases
- deep learning
- embedded devices
- embedded systems
- unsupervised learning
- unsupervised feature learning
- machine learning
- mobile devices
- energy consumption
- real time
- mobile commerce
- mental models
- flash memory
- limited memory
- weakly supervised
- supervised learning
- data storage
- learning strategies
- security protocols
- management system
- training data
- maximum likelihood
- database systems
- higher order