Design of A Simplified Hierarchical Bayesian Network for Residential Energy Storage Degradation Conference

Khan, K, Hossen, T, Savasci, A et al. (2019). Design of A Simplified Hierarchical Bayesian Network for Residential Energy Storage Degradation . 2019-August 10.1109/PESGM40551.2019.8973603



cited authors

  • Khan, K; Hossen, T; Savasci, A; Gauchia, L; Paudyal, S

fiu authors

abstract

  • In this paper a simplified hierarchical Bayesian network (BN) is developed to estimate residential energy storage degradation in terms of capacity fade. The BN is trained using experimental results of lithium iron phosphate batteries. Residential energy storage capacity fade was estimated for multiple cases. These cases originated from a smart home energy management system (SHEMS). The cases reflect that capacity fade of the residential energy storage depends on SHEMS architecture, power consumption limits and electric vehicle schedule.

publication date

  • August 1, 2019

Digital Object Identifier (DOI)

volume

  • 2019-August