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Digital Measurement Procedures for the Energy Industry

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".

Deadline for manuscript submissions: 5 May 2025 | Viewed by 189

Special Issue Editor


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Guest Editor
Faculty of Electrical and Computer Engineering, Cracow University of Technology Warszawska 24, 31-155 Cracow, Poland
Interests: measurement and data analysis; mathematical modeling of measurement systems; signal processing; sensors calibration; electrical measurement of nonelectrical quantities; uncertainties in measurement; dynamic error
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Special Issue Information

Dear Colleagues,

In addition to measurements of non-electrical quantities—mainly temperature and mechanical quantities—electrical measurements are among the most frequently performed measurements of physical quantities in the power industry. These measurements are carried out in the fields of production, transmission, distribution and use of electricity. They are implemented through the application of digital measurement procedures, which contribute primarily to increasing the efficiency of energy systems and minimizing the possibility of their failure. These procedures enable effective control and monitoring of the operation of energy systems, their diagnostics, measurement and monitoring of energy consumption, management of renewable energy, and electricity storage. It is important, however, that these types of procedures achieve optimal performance in terms of specific tasks while maintaining their appropriate accuracy.

This Special Issue invites contributions on the topic of new measurement procedures in the energy industry. In particular, the presentation of new solutions for the energy industry using advanced measurement procedures related to the digital processing of electrical signals, evolutionary algorithms, and artificial intelligence methods is encouraged. It will be necessary to indicate the current state of knowledge resulting from a thorough review of the literature on the energy industry and the proposed solutions. It will also be necessary to validate the presented measurement procedures based on experimental or simulation data. An indication of the possibilities for practical or theoretical applications of the proposed digital measurement procedures will be recommended.

Dr. Krzysztof Tomczyk
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 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

  • artificial intelligence
  • computational algorithm
  • control algorithm
  • control system
  • data analysis
  • data acquisition
  • decision algorithm
  • devices for power systems
  • digital signal processing
  • distributed computing
  • distributed system
  • electric power quality
  • electrical quantity
  • errors in power system
  • evolutionary algorithm
  • fuzzy logic
  • genetic algorithm
  • measurement algorithm
  • measurement system
  • measurement technique
  • measuring instrument
  • nonelectrical quantity
  • optimization of power system
  • precision measurement
  • signal distortion
  • signal reproduction
  • special algorithms
  • time-frequency analysis
  • uncertainty analysis
  • validation of computational algorithm
  • wavelet analysis

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