Abstract
Paper aims This article aims to diagnose the penetration level of Industry 4.0 technologies in cloud-based energy management systems, the Energy Cloud. Originality The energy sector is undergoing a technological evolution driven by the integration of Industry 4.0 technologies with energy management systems, making relevant the study of the permeability of these technologies with energy companies. Research method The research used two articles on Energy Cloud as a theoretical basis and a data collection carried out with managers of renewable energy companies, with the data being analyzed using the MONNA software. Main findings The results show that there is a greater understanding and use of the Internet of Things and Sensors technologies to the detriment of Cloud Computing and Big Data. Implications for theory and practice The article shows that there is a need for managers to seek greater familiarization, especially with Cloud Computing and Big Data.
Highlights
The energy sector is in a transition process (Rafindadi & Mika’Ilu, 2019), and minimizing energy consumption has become a constant concern for both residential and business consumers (Hakimi & Hasankhani, 2020)
With the survey carried out, it was possible to obtain a perception of the managers of distributed generation of renewable energies companies concerning the knowledge and the use of Internet of Things (IoT), Sensors, Cloud Computing (CC), and Big Data technologies in the energy management systems
It can be considered that the research objective was successfully achieved
Summary
The energy sector is in a transition process (Rafindadi & Mika’Ilu, 2019), and minimizing energy consumption has become a constant concern for both residential and business consumers (Hakimi & Hasankhani, 2020) In this sense, energy management models seek to adapt energy consumption to energy demand (Natarajan & Ashok Kumar, 2017). Considering Cloud Computing (CC) environments, data is collected by IoT devices and transmitted to cloud storage, being treated and analyzed in centralized databases (Chen et al, 2019). In these CC environments, users’ energy data can be stored and accessed from a host of application and service platforms (Sivapragash et al, 2019). This way, there is a technological trend that directs the management of energy systems so that it is carried out with the help of new computational technologies such as IoT, Sensors, CC, and Big Data
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