Analyzing Causal Relationships of Sensor Data and Infrared Images to Stabilize Garbage Power Generation.
Kanta MatsubayashiTakuya AnjikiShunji MaedaPublished in: ICMLC (2019)
Keyphrases
- sensor data
- causal relationships
- infrared images
- power generation
- infrared
- power system
- bayesian networks
- sensor networks
- short term
- data streams
- causal models
- power plant
- sensor measurements
- stochastic programming
- production cost
- image fusion
- data mining
- health monitoring
- load forecasting
- influence diagrams
- long term
- latent variables
- multi sensor
- artificial intelligence
- real world
- electricity markets
- neural network
- gene expression
- remote sensing
- machine learning