[HTML][HTML] Contextually enhanced ES-dRNN with dynamic attention for short-term load forecasting
In this paper, we propose a new short-term load forecasting (STLF) model based on
contextually enhanced hybrid and hierarchical architecture combining exponential …
contextually enhanced hybrid and hierarchical architecture combining exponential …
ES-dRNN: a hybrid exponential smoothing and dilated recurrent neural network model for short-term load forecasting
Short-term load forecasting (STLF) is challenging due to complex time series (TS) which
express three seasonal patterns and a nonlinear trend. This article proposes a novel hybrid …
express three seasonal patterns and a nonlinear trend. This article proposes a novel hybrid …
Recurrent neural networks for forecasting time series with multiple seasonality: a comparative study
This paper compares recurrent neural networks (RNNs) with different types of gated cells for
forecasting time series with multiple seasonality. The cells we compare include classical …
forecasting time series with multiple seasonality. The cells we compare include classical …