Improving Thermochemical Energy Storage Dynamics Forecast with Physics-Inspired Neural Network Architecture

Improving Thermochemical Energy Storage Dynamics Forecast with Physics-Inspired Neural Network Architecture

Thermochemical Energy Storage (TCES), specifically the calcium oxide (CaO)/calcium hydroxide (Ca(OH)<sub>2</sub>) system is a promising energy storage technology with relatively high energy density and low cost. However, the existing models available to predict the system’s internal stat...

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Bibliographic Details
Main Authors:	Timothy Praditia, Thilo Walser, Sergey Oladyshkin, Wolfgang Nowak
Format:	Article
Language:	English
Published:	MDPI AG 2020-07-01
Series:	Energies
Subjects:	physics inspired neural network physics-based regularisation artificial neural network nonlinear autoregressive network with exogenous input (NARX) thermochemical energy storage
Online Access:	https://www.mdpi.com/1996-1073/13/15/3873

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