An intelligent power management system with active learning prediction engine for pv grid-tied systems
An incremental unsupervised neural network algorithm namely time-series self organizing incremental neural network (TS-SOINN) is developed to predict the photovoltaic output power for power fluctuation events detection in photovoltaic micro-grid system. The TS-SOINN is an unsupervised clustering alg...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
| Published: |
2020
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| Online Access: | https://eprints.nottingham.ac.uk/59037/ |