Applying machine learning techniques to implement the technical requirements of energy management systems in accordance with ISO 50001:2018, an industrial case study-Reference-Cited by-同舟云学术

Applying machine learning techniques to implement the technical requirements of energy management systems in accordance with ISO 50001:2018, an industrial case study

Published:2021-12-19 Issue: Volume: Page:1-18
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Moghadasi Meisam¹^ORCID,Izadyar Nima²,Moghadasi Amirali³,Ghadamian Hossein⁴

Affiliation:

1. Department of Mechanical Engineering, Iranian Research Organization for Science and Technology (Irost), Tehran, Iran

2. Built Environment School, College of Engineering and Science, Victoria University, Melbourne, Australia

3. Department of Energy & Architecture, Pars University of Art and Architecture, Tehran, Iran

4. Department of Energy, Materials & Energy Research Center (Merc), Tehran, Iran

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/15567036.2021.2011989

Reference38 articles.

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2. Design of a multivariable neural controller for control of a nonlinear MIMO plant

3. Energy performance analysis of continuous processes using surrogate models

4. A New Typology Design of Performance Metrics to Measure Errors in Machine Learning Regression Algorithms

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