Special Issue "Applications of IoT and Cloud Computing in Smart Grids"
Deadline for manuscript submissions: 30 June 2022.
Interests: big data applications; smart grid analytics; cloud computing
Interests: data driven analytics and optimization; smart grids; reinforcement learning
Interests: distributed systems; Internet of Things; cloud computing; edge computing; graph processing
Interests: resource management in cluster; computational grids and clouds; parallel and distributed processing (high performance computing); virtualization; computer architecture
We are on the verge of the so-called fourth industrial revolution. Recent advances in cyber-physical systems are enabling the acquisition, delivery, and analysis of increasingly large volumes of data. Cloud computing, with its seamless approach to scalable computing, has emerged as a suitable solution for businesses running data analytics involving machine learning tasks that would otherwise not be feasible using traditional computers. The increasing number of sensors has showcased the potential of IoT in making our world safer, more accessible, and comfortable. However, until the advent of 5G, there was no suitable means of making these two worlds communicate efficiently. The energy sector with its smart grids is such an example, where, for instance, (1) data from tens of thousands of sensors from customers are gathered by providers to gain meaningful insight on real-time demand optimization (2) and real-time monitoring and predictive maintenance of remote renewable energy sources is needed for optimizing the load balancing. For a significant period, transmitting this data in near real-time over Wi-Fi and wireless has been hindered by the network capability. Software-driven solutions involving on edge or fog preprocessing combined with periodic cloud-based analytics of the resulting metadata have been a key focus of research. The advent of 5G opens new opportunities for at-scale bi-directional delivery and analysis of real-time customer and utility data.
In this Special Issue, we aim at bringing together researchers and practitioners from the field of smart grids to showcase state-of-the-art cyber-physical solutions to current challenges in smart grid analytics. These should cover the full spectrum of hardware (sensors, networks), software (middleware, platforms, applications), and data (storage, privacy, security) aspects for fast scalable data analytics involving the entire cyber-physical stack, from IoT to cloud systems. We, therefore, invite contributors to present their models, frameworks, and applications with a focus on hybrid IoT/cloud computing for smart grids with all its challenges.
Dr. Marc Frincu
Dr. Sanmukh Rao Kuppannagari
Prof. Dr. Yogesh Simmhan
Prof. Dr. Cesar A. F. De Rose
Dr. Mayank Malik
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 2000 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.
- Data analytics
- Smart grid
- Near real-time processing
- Cloud computing
- Edge computing
- Machine learning
- Data privacy and security