Critical Analysis of Thermo Physical Parameters and Modeling of Hybrid Energy

Abstract

This work presents critical analysis of thermo physical parameters modeling of newlinehybrid energy This work aims to gain insight into capabilities of artificial newlineintelligence also its potential applications in field of energy technology This work newlinebegins by discussing thermo physical parameters their relevance in hybrid newlineenergy systems Next application of artificial intelligence in field of energy newlinetechnology is explored focusing on potential for using AI to model also predict newlineperformance of hybrid energy systems This work then critically analyzes various newlineAI-based models for hybrid energy including their accuracy also limitations This newlinework investigates use of artificial intelligence to model thermo physical newlineparameters of hybrid energy systems This work focuses on development of newlinesystem that can predict thermo physical parameters of hybrid energy system using newlineartificial neural networks Three layer neural network is used to model thermo newlinephysical parameters based on data collected from various sources This work newlinediscusses effectiveness of system concerning accuracy of predictions also newlinerobustness of system This work also discusses importance of thermo physical newlineparameters in hybrid energy system design just as well just as challenges newlineassociated with using artificial intelligence to model thermo physical parameters. newlineThis work provides critical analysis of results also suggests possible newlineimprovements that could be made to improve accuracy also robustness of system. newlineFinally this work concludes with discussion of implications of this research also newlinefuture directions in developing AI based models for hybrid energy newline newline