Ultra-short-term PV forecasting based on convolutional neural network, long short-term memory

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention mechanism, and natural gradient boosting. A research group led by scientists from the Hong Kong Polytechnic University has proposed a novel probabilistic ultra-short-term solar PV power forecasting method based on a convolutional neural network (CNN) and a bidirectional long short-term memory (BiLSTM) with an attention mechanism. The new technique extracts patterns from historical weather data and then ...

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