Energy Management System and Multicriteria

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

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