A Machine Learning-Based Model for Stability Prediction of Decentralized Power Grid Linked with Renewable Energy Resources

Table 2

Feature description used in the dataset.

Feature name	Feature description
tau1	Electricity producer’s reaction time in response to price change
tau2	First consumers’ reaction time in response to price change
tau3	Second consumer’s reaction time in response to price change
tau4	Third consumer’s reaction time in response to price change
p1	Nominal power (positive real) produced by the producer (amount of electricity produced)
p2	Nominal power (negative real) consumed by the first consumer (amount of electricity consumed by the first consumer)
p3	Nominal power (negative real) consumed by the second consumer (amount of electricity consumed by the second consumer)
p4	Nominal power (negative real) consumed by the third consumer (amount of electricity consumed by the third consumer)
g1	(Gamma coefficient) proportional to price elasticity of producer
g2	(Gamma coefficient) proportional to the price elasticity of the first consumer
g3	(Gamma coefficient) proportional to the price elasticity of the second consumer
g4	(Gamma coefficient) proportional to the price elasticity of the third consumer
Stab	Target class value real, positive shows instability or negative shows stability
Stabf	Target class label (categorical), i.e., stable or unstable