Abstract: Neural networks (NNs) based wind power forecasting (WPF) under extreme weather conditions faces challenges, including limited sample sizes, domain shift problem between conventional and ...
Abstract: This study investigates the potential of quantum machine learning to enhance the accuracy of typhoon forecasting, with a particular emphasis on its implications for photovoltaic (PV) and ...
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