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Intelligent Decentralized Energy Management in Microgrids II

This special issue belongs to the section “A1: Smart Grids and Microgrids“.

Special Issue Information

Dear Colleagues,

Future energy microgrids will be characterized by an increasing decentralization of generation and storage. Energy management is an essential factor in the operation of a decentralized energy system. An Energy Management System (EMS) is responsible for optimizing the balance of supply and demand in the microgrid. Recent advances in Computational Intelligent (CI) techniques have become the center of attention in the research topic of Distributed Energy Management (DEM). EMSs have been developed based on CI to ensure that the energy generation patterns of distributed renewable resources match the energy consumption patterns. The main advantages of a DEM approach are the increased reliability of the microgrid, modularity, and scalability. There has been significant research progress in CI-DEM software/hardware techniques.

This Special Issue (SI) focuses on the emerging synergy between CI and DEM in microgrids. The SI seeks to contribute to intelligent DEM to improve the energy efficiency of microgrids in order to satisfy technical, socio-economic, and environmental goals. We invite papers on innovative technical developments, reviews, case studies, and papers from different scientific disciplines relevant to intelligent DEM in microgrids.

You could find the first successful volume of our special issue at the following link:
https://www.mdpi.com/journal/energies/special_issues/Intelligent_Decentralized_Energy_Management

Prof. Dr. Anastasios Dounis
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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

  • buildings and microgrids
  • transactive energy management system
  • neural networks
  • evolutionary computation
  • fuzzy logic systems
  • fuzzy cognitive maps
  • machine learning algorithms
  • multi-agent systems
  • reinforcement learning
  • distributed intelligence
  • autonomous polygeneration microgrids
  • game theory
  • distributed optimization
  • embedded system for energy management demand
  • fault detection and diagnosis in energy management systems
  • decentrilized microgrid control and management

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Energies - ISSN 1996-1073