Towards Sustainable Power Systems: Exploring the Opportunities of Multi-task Learning for Battery Degradation Forecasting.
Emilie GrégoireSam VerbovenPublished in: AI4KMES@ECAI (2023)
Keyphrases
- multi task learning
- power system
- load forecasting
- short term load forecasting
- multi task
- electric vehicles
- wind power
- learning tasks
- multiple tasks
- gaussian processes
- power generation
- multitask learning
- power grid
- short term
- smart grid
- theoretical analysis
- computational intelligence
- transfer learning
- high order
- learning problems
- learning algorithm
- support vector regression
- learning models
- cost effective
- electric power systems
- neural network
- wind speed
- power distribution systems
- metric learning
- power supply
- forecasting model
- semi supervised learning
- long term
- artificial neural networks
- e learning
- feature selection
- artificial intelligence