Special Issue "Internet of Energy (IoE): New Business Scenarios, Technologies and Applications"
Deadline for manuscript submissions: closed (30 June 2021).
Interests: energy management; modeling; blue-green economy; industry 4.0; Internet of Things; Internet of Energy; digitalization; sustainability; international management; vocational training, education, business; CSR; SME management; cultural dimensions; 5th wave theory/tomorrow age; future studies
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Interests: electromagnetic modeling; electromagnetic compatibility; shielding; energy management; smart grids; Internet of Things
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The digital transformation driven by 4.0 technologies is having a disruptive impact on many sectors, including energy. These innovations allow us to respond to both the growing energy demand and the lower carbon emission requirements. The application of Internet of Things (IoT) technologies to vast types of devices has led to electrical networks being monitored and controllable in a capillary way. Big data techniques and predictive models allow smart management of networks, from a national scale up to micronetworks, facilitating the spread of distributed generation and storage systems. New intermediaries and new business models appear in the energy market. The energy economy has changed from a power economy to a data and power economy, leading to the concept of the “Internet of Energy”.
The aim of this Special Issue is to report on new scenarios, technologies, and applications related to the concept of the Internet of Energy and discuss challenges and risks. Examples of this work include the description of new business models and new operating methodologies related to the energy sector, the impact of the digital transformation on the players of the energy sector, new policies and strategies for the monitoring and control of macro and microenergy grids, and new models of data monetization in the energy sector. The Special Issue also aims to cover the impact of 4.0 technologies on the energy sector, including the large-scale deployment of IoT, the employment of big data and machine learning for energy forecasting, the use of cloud platforms for the control of smart grids, and the new cyber-risks for the energy sector.
Technology development has led to new opportunities for business improvement. Internet of Things, Internet of Energy, cyberphysical systems, big data, and machine learning are new techniques used in Industry 4.0 that enable businesses to better manage resources and provide them with the flexibility to respond to business conditions.
Prof. Dr. Hamid Doost Mohammadian
Prof. Dr. Dario Assante
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- IoT (Internet of Things)
- IoE (Internet of Energy)
- energy management
- smart grids
- smart metering
- digital transformation