Machine Learning for Energy Conservation of Microgrid under Fault and Varying Load Conditions.
Thiruvenkadam SrinivasanHyun-Jin KimIn-Ho RaPublished in: SMA (2020)
Keyphrases
- energy conservation
- machine learning
- energy consumption
- wireless sensor networks
- energy saving
- smart home
- network topology
- text classification
- fault diagnosis
- energy efficiency
- data sets
- fault detection
- learning algorithm
- semi supervised learning
- response time
- computational intelligence
- sensor networks
- expert systems
- multi agent
- artificial intelligence