A new class of wavelet networks for nonlinear system identification

By Stephen A. Billings, Hua-Liang Wei. IEEE Transactions on Neural Networks, 2005

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An Adaptive Wavelet Neural Network-Based Energy Price Forecasting in Electricity Markets (2008, methodology): “The -dimensional wavelet basis function can be calculated by the tensor product of 1-D wavelets [21].”
AWNN-Assisted Wind Power Forecasting Using Feed-Forward Neural Network (2012, methodology): “Due to its symmetry in shape, having explicit expression, and providing an exact time frequency analysis, it has been considered to be the most appropriate mother wavelet function [22], [24].”