An algorithm is presented for nonlinear least squares estimation in which the parameters to be estimated can be regarded as all nonlinear (the traditional approach) or reclassified as linear-nonlinear ...

The team of researchers at WPI have developed real-time predictive algorithms that can predict local and real-short-time clouds activity with high accuracy as well as forecast PV system performance.

In this paper we propose a recursive online algorithm for estimating the parameters of a time-varying ARCH process. The estimation is done by updating the estimator at time point t - 1 with ...