Hardware implementation of an active learning self-organizing neural network to predict the power fluctuation events of a photovoltaic grid-tied system.
Shu Mei GohKen Weng KowMichelle TanRajprasad Kumar RajkumarYee Wan WongPublished in: Microprocess. Microsystems (2022)
Keyphrases
- hardware implementation
- neural network
- active learning
- efficient implementation
- solar energy
- signal processing
- power grid
- maximum power point tracking
- artificial neural networks
- fpga implementation
- dedicated hardware
- image processing algorithms
- software implementation
- hardware design
- pattern recognition
- field programmable gate array
- back propagation
- power consumption
- hardware architecture
- parallel architecture
- memory management
- fault diagnosis
- semi supervised
- pipeline architecture
- image binarization
- machine learning
- multi layer
- stock market
- learning process
- computer vision
- power plant
- power generation
- associative memory
- neural network model
- general purpose processors
- renewable energy sources
- schottky barrier