Physics and data‐driven approach for online joint state and parameter estimation of electricity and steam networks
Jun Zhao,
Wange Li,
Tianyu Wang
et al.
Abstract:The electricity and steam integrated energy systems, which can capture waste heat and improve the overall energy efficiency, have been widely utilised in industrial parks. However, intensive and frequent changes in demands would lead to model parameters with strong time‐varying characteristics. This paper proposes a hybrid physics and data‐driven framework for online joint state and parameter estimation of steam and electricity integrated energy system. Based on the physical non‐linear state space models for t… Show more
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