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Energy Management System and Multicriteria

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: closed (20 January 2023) | Viewed by 4103

Special Issue Editors


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Guest Editor
Graduate Program in Applied Informatics, University of Fortaleza, Fortaleza/Ceara, Brazil
Interests: operations research; metaheuristics; mathematical programming; multicriteria; multiple criteria decision analysis
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Graduate Program in Computer Science, Federal University of Piaui, Teresina 64049-550, PI, Brazil
Interests: computational intelligence; Internet of Things; smart grid; non-linear programming; numerical methods

Special Issue Information

Dear Colleagues,

Most recent studies show that the main goal in energy management systems is to minimize the cost associated with electric energy consumption without considering the preferences/needs of end consumers. Therefore, it is possible to state that these works do not consider the actual difficulty of the problem. They do not evaluate aspects such as different residential scenarios, various categories of home appliances and the level of satisfaction/comfort of consumers with the new scheduling of their home appliances. Furthermore, the studies that deal with the inconvenience aspect of the issue performed simulations without considering the different categories of home appliances, thus reducing the method's complexity. However, this proposes a home energy management system (HEMS), a consumer satisfaction/comfort level to minimize the cost associated with the energy consumption and minimize the inconvenience (dissatisfaction/discomfort) of end consumers, ensuring stability and the safety of the EPS. The HEMS, through the energy management controller (EMC), determines an optimized timeline for each appliance through optimization techniques related to, for example, Artificial Intelligence (AI), Business Analytics (BA), and Business Intelligence (BI), thus ensuring a more economic scenario for end consumers. This Special Issue aims to introduce a new thematic energy management system and multicriteria. Its welcome original research articles focused on the potential of optimization of these networks through new multicriteria models that will allow for more effective decision-making and research articles discussing the current state of the art.

Potential topics include but are not limited to the following:

  • Innovations applied to information and communications technologies in-home energy management systems;
  • New perspectives for the provision of the energy management system;
  • Optimization tools for the elaboration of the energy management system;
  • Optimization models for energy management system in smart cities and intelligent villages context;
  • Optimization models for the energy management systems and the question of one-off instances of emergency.

Prof. Dr. Plácido Rogerio Pinheiro
Prof. Dr. Ricardo de Andrade Lira Rabelo
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. Sustainability 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 2400 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 system
  • multi-criteria analysis
  • renewable energy
  • power generation
  • energy efficiency
  • quality of life
  • smart homes
  • smart buildings

Published Papers (2 papers)

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Research

31 pages, 3427 KiB  
Article
Aligning the Goals Hybrid Model for the Diagnosis of Mental Health Quality
by Wagner Silva Costa, Plácido R. Pinheiro, Nádia M. dos Santos and Lucídio dos A. F. Cabral
Sustainability 2023, 15(7), 5938; https://doi.org/10.3390/su15075938 - 29 Mar 2023
Cited by 1 | Viewed by 1457
Abstract
The social distancing imposed by the COVID-19 pandemic has been described as the “greatest psychological experiment in the world”. It has tested the human capacity to extract meaning from suffering and challenged individuals and society in Brazil and abroad to promote cohesion that [...] Read more.
The social distancing imposed by the COVID-19 pandemic has been described as the “greatest psychological experiment in the world”. It has tested the human capacity to extract meaning from suffering and challenged individuals and society in Brazil and abroad to promote cohesion that cushions the impact of borderline experiences on mental life. In this context, a survey was conducted with teachers, administrative technicians, and outsourced employees at the Federal Institute of Piauí (IFPI). This educational institution offers professional and technological education in Piauí, Brazil. This study proposes a system for the early diagnosis of health quality during social distancing in the years 2020 and 2021, over the COVID-19 pandemic, combining multi-criteria decision support methodology, the Analytic Hierarchy Process (AHP) with machine learning algorithms (Random Forest, logistic regression, and Naïve Bayes). The hybrid approach of the machine learning algorithm with the AHP multi-criteria decision method with geometric mean accurately obtained a classification that stood out the most in the characteristics’ performance concerning emotions and feelings. In 2020, the situation was reported as the SAME AS BEFORE, in which the hybrid AHP with Geographical Average with the machine learning Random Forest algorithm stands out, highlighting the atypical situation in the quality of life of the interviewees and the timely manner in which they realized that their mental health remained unchanged. After that, in 2021, the situation was reported as WORSE THAN BEFORE, in which the hybrid AHP with geometric mean with the machine learning Random Forest algorithm provided an absolute result. Full article
(This article belongs to the Special Issue Energy Management System and Multicriteria)
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19 pages, 1272 KiB  
Article
Prioritising Maintenance Work Orders in a Thermal Power Plant: A Multicriteria Model Application
by Sidney Jose Meireles de Andrade, Plácido Rogério Pinheiro, Glauber Jean Alves Narciso, José Tarcisio Pimentel Neto, João Pedro da Silva Bandeira, Vinicius Sales de Andrade and Cayo Cid de França Moraes
Sustainability 2023, 15(1), 54; https://doi.org/10.3390/su15010054 - 21 Dec 2022
Cited by 1 | Viewed by 1909
Abstract
Maintenance is one of the most rapidly expanding activities in the industrial environment, since its application is no longer limited to simple, regular fixes. In the case of thermal power plants maintenance is essential, since they only operate when the National Electric System [...] Read more.
Maintenance is one of the most rapidly expanding activities in the industrial environment, since its application is no longer limited to simple, regular fixes. In the case of thermal power plants maintenance is essential, since they only operate when the National Electric System Operator wants them to complement the production from renewable sources such as hydro, wind, and solar. To limit the frequency of failures that result in generation unavailability, the operation team performs daily inspections to evaluate the equipment’s condition and the risks to the generating process. If an anomaly is found, the maintenance team will create service notes to address it. This research aims to demonstrate how the method Measuring Attractiveness by a Category-Based Evaluation Technique (Macbeth) can be applied to the development of a multiple-criterion model to support decision making in ordering the criticality of systems in thermal plant operational inspection routes to propose new methodologies for routine execution to increase the operation team’s productivity. According to the results of the judgement matrix, the recommended ordering enabled a strategy for the performance of the current operational routes by redefining the criticality, periodicity, routing, and resources utilised, hence preserving the plant’s reliability. According to the results, the proposed ranking will enable a new strategy for integrated maintenance planning, redefining the criticality of service orders according to the judgement based on criteria and subcriteria, thereby allowing the application of resources appropriately and focusing on what is more important to maintain the thermal power plant’s continuity and operational safety. Full article
(This article belongs to the Special Issue Energy Management System and Multicriteria)
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