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Volume II: Smart Home Energy Management

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "G: Energy and Buildings".

Deadline for manuscript submissions: closed (15 February 2019) | Viewed by 8582

Special Issue Editors


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Guest Editor
Faculty of Engineering and Architecture, Kore University of Enna, 94100 Enna, Italy
Interests: wireless sensor networks; intelligent transportation systems; Internet of things; green communications; fuzzy logic
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Automation, University of Science and Technology of China, Hefei 230027, China
Interests: consensus and coordination in multi-agent systems; distributed control of large-scale complex systems; complex network theory and its application; security and privacy in cyber-physical systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, smart homes have attracted more interest from the research community. The main reason is that the use of modern automation technologies in homes ensures significant savings of energy, therefore, simultaneously overcoming the operational costs of the building over its whole life cycle.

As it is known, a smart home is a residential dwelling, in some cases with a garden or an outdoor space, equipped with sensors and actuators to collect data and send controls according to the activities and expectations of the occupants/users. Home automation provides a centralized or distributed control of electrical appliances. It would be possible to obtain, not only excellent levels of comfort, but also energy savings both inside the dwelling and also outside, for instance using smart solutions for the management of the external lights and the garden, adding intelligence to the home environment.

Nevertheless, the full potential of smart homes still lies fallow, due to the complexity and diversity of the systems, as well as the frequent problem of suboptimal control strategies. As a consequence, the energy consumption is still higher than actually necessary, and users are unable to yield full comfort in their automated homes. For this reason, new solutions and approaches are needed to address the requirements imposed by the smart home energy management systems, through the development of smart solutions, intelligent algorithms, and novel network paradigms.

Considering that different problems must still be resolved, we are inviting submissions to a Special Issue of Energies on “Volume II: Smart Home Energy Management.” More in detail, this Special Issue solicits the submission of high-quality and unpublished papers that aim to solve open technical problems and challenges typical of smart home energy management systems, integrating novel solutions efficiently, and focusing on performance evaluations and comparisons with existing standards. Both theoretical and experimental studies for typical smart homes scenarios are encouraged. Furthermore, high-quality reviews and survey papers are also welcomed.

Prof. Dr. Giovanni Pau
Dr. Antonio Ruano
Prof. Dr. Jiahu Qin
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. Energies 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 2600 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.

Keywords

  • energy management systems and networks for smart home
  • improving energy efficiency in smart homes
  • demand-side applications
  • distributed wireless sensors for smart energy management
  • smart grids
  • deadline-aware application for energy smart home control
  • energy-aware home area networks
  • smart metering management systems
  • time-of-use and real-time pricing applications
  • green communications for smart home
  • innovative solutions for eco-homes with greenhouse
  • smart energy solutions for home and garden
  • energy saving approaches and solutions
  • use of alternative energy sources (photovoltaic, wind, etc.)
  • distributed control and optimization in smart energy management
  • decision making in smart energy management

Published Papers (2 papers)

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Research

15 pages, 1027 KiB  
Article
Distributed Capacity Allocation of Shared Energy Storage Using Online Convex Optimization
by Kan Xie, Weifeng Zhong, Weijun Li and Yinhao Zhu
Energies 2019, 12(9), 1642; https://doi.org/10.3390/en12091642 - 30 Apr 2019
Cited by 21 | Viewed by 2761
Abstract
This paper studies capacity allocation of an energy storage (ES) device which is shared by multiple homes in smart grid. Given a time-of-use (TOU) tariff, homes use the ES to shift loads from peak periods to off-peak periods, reducing electricity bills. In the [...] Read more.
This paper studies capacity allocation of an energy storage (ES) device which is shared by multiple homes in smart grid. Given a time-of-use (TOU) tariff, homes use the ES to shift loads from peak periods to off-peak periods, reducing electricity bills. In the proposed ES sharing model, the ES capacity has to be allocated to homes before the homes’ load data is completely known. To this end, an online ES capacity allocation algorithm is developed based on the online convex optimization framework. Under the online algorithm, the complex allocation problem can be solved round by round: at each round, the algorithm observes current system states and predicts a decision for the next round. The proposed algorithm is able to minimize homes’ costs by learning from home load data in a serial fashion. It is proven that the online algorithm can ensure zero average regret and long-term budget balance of homes. Further, a distributed implementation of the online algorithm is proposed based on alternating direction method of multipliers framework. In the distributed implementation, the one-round system problem is decomposed into multiple subproblems that can be solved by homes locally, so that an individual home does not need to send its private load data to any other. In simulation, actual home load data and a TOU tariff of the United States are used. Results show that the proposed online approach leads to the lowest home costs, compared to other benchmark approaches. Full article
(This article belongs to the Special Issue Volume II: Smart Home Energy Management)
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22 pages, 1755 KiB  
Article
Multi-Agent Recommendation System for Electrical Energy Optimization and Cost Saving in Smart Homes
by Diego M. Jiménez-Bravo, Javier Pérez-Marcos, Daniel H. De la Iglesia, Gabriel Villarrubia González and Juan F. De Paz
Energies 2019, 12(7), 1317; https://doi.org/10.3390/en12071317 - 5 Apr 2019
Cited by 20 | Viewed by 5112
Abstract
The European Union Establishes that for the next few years, a cleaner and more efficient energy system should be used. In order to achieve this, this work proposes an energy optimization method that facilitates the achievement of these objectives. Existing technologies allow us [...] Read more.
The European Union Establishes that for the next few years, a cleaner and more efficient energy system should be used. In order to achieve this, this work proposes an energy optimization method that facilitates the achievement of these objectives. Existing technologies allow us to create a system that optimizes the use of energy in homes and offers some type of benefit to its residents. Specifically, this study has developed a recommendation system based on a multiagent system that allows to obtain consumption data from electronic devices in a home, obtain information on electricity prices from the Internet, and provide recommendations based on consumption patterns of users and electricity prices. In this way, the system recommends new hours in which to use the appliances, offering the economic benefit that it would propose recommendations for the user. In this way, it is possible to distribute and optimize the use of energy in homes and reduce the peaks in electricity consumption. The system provides encouraging results in order to resolve the problem proposed by the European Union by optimizing the use of energy among different hours of the day and saving money for the customer. Full article
(This article belongs to the Special Issue Volume II: Smart Home Energy Management)
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