Authors
Mehar Ullah, Arun Narayanan, Annika Wolff, Pedro HJ Nardelli
Publication date
2022/10/17
Journal
IEEE Access
Volume
10
Pages
110557-110567
Publisher
IEEE
Description
Industrial activities consume a large portion of the total energy demand worldwide and thus significantly contribute to greenhouse gas emissions. One of the most effective ways to reduce energy consumption in the industrial sector is to implement an energy management system. Current research into Industrial Energy Management System (IEnMS) remains insufficient, and to the best of our knowledge, a holistic framework for an IEnMS using the Internet of Things (IoT) and big data does not exist. This paper provides a comprehensive systematic literature review of the existing academic publications on IEnMS from where the main requirements and components of an IEnMS are identified. We further verify this study by conducting a detailed survey with specialized employees of ten (10) large companies to acquire expert opinion about using the modern technologies like IoT, big data, and data analytics in IEnMS. We …
Total citations
202220232024126
Scholar articles
M Ullah, A Narayanan, A Wolff, PHJ Nardelli - 2021 IEEE PES Innovative Smart Grid Technologies …, 2021