Novel Forecasting for Photovoltaic Installation Output Using Transfer Learning Genetic Programming

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@InProceedings{Liu:2025:UPEC,

• author = "Yilin Liu and Daniil Hulak and Zhengwen Huang and Gareth Taylor",
• title = "Novel Forecasting for Photovoltaic Installation Output Using Transfer Learning Genetic Programming",
• booktitle = "60th International Universities Power Engineering Conference, UPEC 2025",
• year = "2025",
• address = "London",
• month = "2-5 " # sep,
• keywords = "genetic algorithms, genetic programming, Photovoltaic systems, Electric potential, Accuracy, Computational modeling, Transfer learning, Solar energy, Predictive models, Forecasting, Standards, Photovoltaic Installation, Transfer Learning",
• isbn13 = "979-8-3315-6521-3",
• DOI = "10.1109/UPEC65436.2025.11279945",
• notes = "also known as \cite{11279945}

  Department of Electronic and Electrical Engineering, Brunel University of London, London, United Kingdom",

}

Genetic Programming entries for Yilin Liu Daniil Hulak Zhengwen Huang Gareth A Taylor

Citations