Heuristic grey-box modelling for photovoltaic power systems

Naji Al-MessabiSchool of Engineering, University of Glasgow, Glasgow, UK;Abu Dhabi Transmission and Despatch Company (TRANSCO), Abu Dhabi, UAE

Cindy GohSchool of Engineering, University of Glasgow, Glasgow, UK

Yun LiSchool of Engineering, University of Glasgow, Glasgow, UK;College of Computer Science and Technology, Dongguan University of Technology, Dongguan, People’s Republic of ChinaCorrespondence[email protected]

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Qingxiang Hao, Zhengzhong Gao, Xingzhen Bai & Maoyong Cao. (2018) Two-level reconfiguration algorithm of branch exchange and variable neighbourhood search for active distribution network. Systems Science & Control Engineering 6:3, pages 109-117.
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Harwan Mohammed Taha & Sipan Hameed. (2020) Optimization of Tilt Angle of a PV System To Get Maximum Generated Power: a Case Study. Kurdistan Journal of Applied Research, pages 71-81.
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Vuk Malbasa, Ce Zheng, Po-Chen Chen, Tomo Popovic & Mladen Kezunovic. (2017) Voltage Stability Prediction Using Active Machine Learning. IEEE Transactions on Smart Grid 8:6, pages 3117-3124.
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Antonello Rosato, Rosa Altilio, Rodolfo Araneo & Massimo Panella. (2017) Prediction in Photovoltaic Power by Neural Networks. Energies 10:7, pages 1003.
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Heuristic grey-box modelling for photovoltaic power systems

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Heuristic grey-box modelling for photovoltaic power systems

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