[Retracted] Diminution of Smart Grid with Renewable Sources Using Support Vector Machines for Identification of Regression Losses in Large-Scale Systems

Table 6

Comparison of efficiency with state-of-the-art models.

Reference	Type of model	Specified methods	Efficiency in smart grid (in percentage)
[2]	Machine learning algorithm	Taguchi loss function	65
[8]	Heuristic algorithm	Convex optimization	67
[17]	Long short-term memory (LSTM)	Multidirectional cyber physical systems	68
[18]	Autoregressive indicated moving average (ARIMA)	Online information networks	72
[19]	Adaptive ARIMA	Nonlinear weighted inputs
[20–26]	Linear regression	Extreme learning machine	74
Proposed	Support vector machines (SVM)	Regularization parameters	81