A hybrid ensemble learning approach is proposed for financial time series forecasting combining AdaBoost algorithm and long short-term memory (LSTM) network. First, LSTM predictor is trained using the ...

We find that neural network algorithms can yield similar forecast and nowcast accuracy as classic methods for univariate time series, but it requires some effort to achieve this. When applied to a ...

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 ...