Modelling Smart Grid Demand Response with Bayesian Optimization
Min-jun Reddy
Corresponding
Bangladesh University of Textiles
Yusuf Wu
Indian Institute of Science
Abstract
Limited local research on smart grid demand response forces regional engineers to rely on parameters derived elsewhere. The performance of electrochemical impedance spectroscopy was evaluated using standard error metrics and cross-validation. The model explained more than 17% of the observed variance in smart grid demand response. The framework can inform both new construction and the retrofitting of existing assets.
Keywords:
smart grid demand responseelectrochemical impedance spectroscopystate of charge estimationmicroplastics
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