In linear regression, the relationships are modeled using linear predictor functions whose unknown model parameters are estimated from the data. Such models are called linear models. Most commonly, ...

The linearized power flow (PF) model is mainly used to make the optimal power flow (OPF) problem convex. However, existing data-driven linear PF models are not applicable for OPF calculation since the ...

Learn the steps to use regression analysis, a statistical technique that explores the relationship between demand and other factors, for inventory management.

In this paper, the dynamic load models are used as a set of input data, and the load flow results are used as a set of output data for the supervised machine learning algorithm. A linear ...

For time-series analysis, it is possible to develop a linear regression model that simply fits a line to the variable's historical performance and extrapolates that into the future.

Often, regression models that appear nonlinear upon first glance are actually linear. The curve estimation procedure can be used to identify the nature of the functional relationships at play in ...