Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting

This paper proposes an efficient online learning algorithm to track the smoothing functions of Additive Models. The key idea is to combine the linear representation of Additive Models with a Recursive Least Squares (RLS) filter... (read more)

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