Smart Energy Grid Engineering

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".

Deadline for manuscript submissions: closed (1 December 2018) | Viewed by 12788

Special Issue Editors


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Guest Editor
Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA
Interests: smart grid; sensors and measurement; high speed electronic devices and integrated circuits; power engineering; power electronics
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Professor, Department of Electrical Engineering and Computer Science; Director, Advanced Power and Energy Center, Khalifa University, Abu Dhabi, UAE
Interests: distribution system operation and control; smart/micro grids; renewable integration; power quality; protection systems; cyber-physical security of power grids

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Guest Editor
Department of Energy and Nuclear Engineering, Faculty of Engineering and Applied Science, Ontario Tech University, Oshawa, ON L1G 0C5, Canada
Interests: resilient smart energy grids and micro-energy grids planning, control, and protection; advanced plasma generation and application on fusion energy; advanced safety and control systems for nuclear power plants; safety engineering, fault diagnosis, and real-time simulation; risk-based energy conservation; smart green buildings; process systems engineering of the energy and nuclear facilities, and oil and gas production plants
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to invite you to submit your extended paper presented at IEEE SEGE conference to this Special Issue, which aims at providing an opportunity to present and discuss various engineering challenges of smart energy grid design and operation by focusing on advanced methods and practices for designing different components and their integration within the grid. It also provides a forum for researchers from academia and professionals from industry, as well as government regulators to present solutions to these challenges, and discuss and exchange knowledge and best practices about design and implementation.

Besides, the extended paper must provide a minimum of 50% new content and not exceed 30% copy/paste from the proceedings paper.

Prof. Prasanta K. Ghosh
Prof. Ehab El-Saadany
Prof. Hossam A. Gabbar
Guest Editors

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 submissions that pass pre-check are 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. Information is an international peer-reviewed open access monthly 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 1600 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.

Published Papers (1 paper)

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Review

34 pages, 1508 KiB  
Review
A Review on Energy Consumption Optimization Techniques in IoT Based Smart Building Environments
by Abdul Salam Shah, Haidawati Nasir, Muhammad Fayaz, Adidah Lajis and Asadullah Shah
Information 2019, 10(3), 108; https://doi.org/10.3390/info10030108 - 8 Mar 2019
Cited by 107 | Viewed by 12077
Abstract
In recent years, due to the unnecessary wastage of electrical energy in residential buildings, the requirement of energy optimization and user comfort has gained vital importance. In the literature, various techniques have been proposed addressing the energy optimization problem. The goal of each [...] Read more.
In recent years, due to the unnecessary wastage of electrical energy in residential buildings, the requirement of energy optimization and user comfort has gained vital importance. In the literature, various techniques have been proposed addressing the energy optimization problem. The goal of each technique is to maintain a balance between user comfort and energy requirements, such that the user can achieve the desired comfort level with the minimum amount of energy consumption. Researchers have addressed the issue with the help of different optimization algorithms and variations in the parameters to reduce energy consumption. To the best of our knowledge, this problem is not solved yet due to its challenging nature. The gaps in the literature are due to advancements in technology, the drawbacks of optimization algorithms, and the introduction of new optimization algorithms. Further, many newly proposed optimization algorithms have produced better accuracy on the benchmark instances but have not been applied yet for the optimization of energy consumption in smart homes. In this paper, we have carried out a detailed literature review of the techniques used for the optimization of energy consumption and scheduling in smart homes. Detailed discussion has been carried out on different factors contributing towards thermal comfort, visual comfort, and air quality comfort. We have also reviewed the fog and edge computing techniques used in smart homes. Full article
(This article belongs to the Special Issue Smart Energy Grid Engineering)
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