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residential demand side management ↔ artificial neural networks

Relations (1)

related 2.00 — strongly supporting 3 facts

Artificial neural networks are utilized as a computational method, either individually or in hybrid configurations, to address complex problems within residential demand side management as described in [1], [2], and [3].

Facts (3)

Sources
Comprehensive framework for smart residential demand side ... nature.com Nature 3 facts
claimFuzzy logic (FL) and artificial neural networks (ANN) are used individually or in hybrid ways for Residential Demand Side Management (RDSM) problems, though they depend on system parameter values and adequate training, making them difficult to formulate for complex issues.
claimFuzzy logic (FL) and artificial neural networks (ANN) are used in Residential Demand Side Management (RDSM) problems, either individually or in hybrid configurations, though they depend on system parameter values and adequate training, making them difficult to formulate for complex issues.
claimFuzzy logic (FL) and artificial neural networks (ANN) are used individually or in hybrid ways for Residential Demand Side Management (RDSM) problems, though they depend on system parameter values and adequate training, making them difficult to formulate for complex issues.