HMMs is the Hidden Markov Models library for Python. It is easy to use general purpose library implementing all the important submethods needed for the training, examining and experimenting with the ...

Short-term load forecasting (STLF) for industrial customers has been an essential task to reduce the cost of energy transaction and promote the stable operation of smart grid throughout the ...

In the past years, Hidden Markov Models have been used in several fields and applications with success. More recently, these models have been applied to improve the reliability of a machinery system.

We have developed a hidden Markov model and optimization procedure for photon-based single-molecule FRET data, which takes into account the trace-dependent background intensities. This analysis ...

One example is the Autoregressive Integrated Moving Average (ARIMA), a sophisticated autoregressive model that factors in trends, cycles, seasonality, errors, and other non-static data when making ...