Modeling, optimizing and diagnosis of chiller systems using machine learning /
Title
Modeling, optimizing and diagnosis of chiller systems using machine learning /
Subject
Computer Science
Description
Patent Number: 202141035122, Applicant: Dr B S Praveen Kumar.
Modeling, Optimizing and diagnosis of Chiller Systems using Machine Learning The invention aims to create an energy use model for a chiller in heating, ventilation, and air conditioning system using the artificial neural network learning method. Input layers that included several input variables, quantity (percentage) of training data and number of neurons were measured for accuracy by the suggested chiller energy consumption model.
Modeling, Optimizing and diagnosis of Chiller Systems using Machine Learning The invention aims to create an energy use model for a chiller in heating, ventilation, and air conditioning system using the artificial neural network learning method. Input layers that included several input variables, quantity (percentage) of training data and number of neurons were measured for accuracy by the suggested chiller energy consumption model.
Creator
R, Ravikumar.
Publisher
Intellectual Property India
Date
2021
Language
English
Type
Patent
Collection
Citation
R, Ravikumar., “Modeling, optimizing and diagnosis of chiller systems using machine learning /,” CHRIST (Deemed To Be University) Institutional Repository, accessed September 8, 2024, https://archives.christuniversity.in/items/show/2461.