Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/20776| Title: | A Particle Swarm Optimisation-trained Feedforward Neural Network for Predicting the Maximum Power Point of a Photovoltaic Array |
| Authors: | Almajidi, S Abbod, M Al-Raweshidy, H |
| Keywords: | Artificial neural network (ANN);Fuzzy Logic Control (FLC);Maximum Power Point tracking (MPPT);Photovoltaic (PV);Perturb and Observe (P&O);Efficiency of MPPT (η MPPT) |
| Issue Date: | 2020 |
| Publisher: | Elsevier |
| URI: | http://bura.brunel.ac.uk/handle/2438/20776 |
| ISSN: | 0952-1976 |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Embargoed Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed until 01 Jan 2030 | 2.94 MB | Adobe PDF | View/Open |
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