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 ...

A support vector regression-based interval power flow prediction method for distribution ... The flow chart of SVR-based IPF prediction ... S., Liu, K., Ran, X., Chen, S., and Zhang, X. (2020). An ...

Joint chance-constrained optimal power flow (JCC-OPF) is a promising tool for managing distributed renewable generation uncertainties. However, existing works are usually based on power flow equations ...

Ridge regression, SGD predicted by the grid, was accumulated to train the model in DNN to forecast traffic flow. For scalability, non-linear information stored in spark RDD, and for expeditious ...

Equilibrium Valuation Model. Based on the DCF model, it can be stated that the current value of a stock ( P 0) is a function of its current FCF ( FCF 0), its future expected FCF growth rates ( G 1 ...

A flow chart for study population selection. TABLE 1. Table 1. ... In the regression-based models, the most important predictor was life satisfaction, and it increased the odds of a future depression ...

The regression model approach corrects for the effects of cell morphology on fluorescence, ... Brinkman RR, Gottardo R (2008) Automated gating of flow cytometry data via robust model‐based clustering.