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Special Issue "Electrical Engineering Technology in Huazhong University of Science and Technology: Celebrating the 70th Anniversary"

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

Deadline for manuscript submissions: 31 January 2023 | Viewed by 683

Special Issue Editor

Dr. Ying Xu
E-Mail Website
Guest Editor
State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: electrical engineering technology; electromagnetic technology; superconducting technology and its applications
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Special Issue Information

Dear Colleagues,

The Huazhong University of Science and Technology (HUST) was founded in 1952. It is a comprehensive research university located in Wuhan, China, under the direct supervision of the Ministry of Education. It is a participant university of the former “985” Project in China and also one of the first universities approved under the national "Double First-Class" Initiative, China’s “Excellence Initiative” for institutions of higher education. The HUST has consistently ranked among the top 10 universities in China in the major domestic and international rankings, including the Shanghai Ranking’s Academic Ranking of World Universities and the US News and World Report Best Global Universities Ranking.

To celebrate the 70th anniversary of the HUST, Energies will publish this Special Issue, entitled “Electrical Engineering Technology in Huazhong University of Science and Technology: Celebrating the 70th Anniversary”. This Special Issue will collect high-quality full research articles or comprehensive literature reviews with the broad scope of electrical engineering technologies.

Dr. Ying Xu
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 2200 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

  • electrical engineering
  • applied superconductivity
  • electrotechnical and electromagnetic technology

Published Papers (2 papers)

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Research

Article
Optimum Design and Performance Analysis of Superconducting Cable with Different Conductor Layout
Energies 2022, 15(23), 8893; https://doi.org/10.3390/en15238893 - 24 Nov 2022
Viewed by 190
Abstract
Compared with the traditional cable, the high-temperature superconducting (HTS) cable has the advantages of low loss and large capacity transmission. At present, the research on HTS cables mainly focuses on the calculation of AC loss, the performance under specific working conditions and cooling [...] Read more.
Compared with the traditional cable, the high-temperature superconducting (HTS) cable has the advantages of low loss and large capacity transmission. At present, the research on HTS cables mainly focuses on the calculation of AC loss, the performance under specific working conditions and cooling system design. Relatively little research has been carried out on the basic design and overall layout optimization of the cables. In this paper, an HTS cable with a rated current of 4 kA was designed. Firstly, according to the selected superconducting cable parameters, the body design of cables with different structures was carried out and the corresponding finite element models were built. Then, the performance analysis of HTS cables with different layouts was carried out based on the proposed cable performance evaluation indicators and the CORC double-layer structure was determined as the scheme of this cable. Finally, the AC loss of the cable with this topology was calculated to be 9.81 J/m under rated conditions. The cooling system can ensure the safe operation of the cable in the rated temperature range. Full article
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Article
Short-Term Electricity Price Forecasting Based on the Two-Layer VMD Decomposition Technique and SSA-LSTM
Energies 2022, 15(22), 8445; https://doi.org/10.3390/en15228445 - 11 Nov 2022
Viewed by 258
Abstract
Accurate electricity price forecasting (EPF) can provide a necessary basis for market decision making by power market participants to reduce the operating cost of the power system and ensure the system’s stable operation. To address the characteristics of high frequency, strong nonlinearity, and [...] Read more.
Accurate electricity price forecasting (EPF) can provide a necessary basis for market decision making by power market participants to reduce the operating cost of the power system and ensure the system’s stable operation. To address the characteristics of high frequency, strong nonlinearity, and high volatility of electricity prices, this paper proposes a short-term electricity price forecasting model based on a two-layer variational modal decomposition (VMD) technique, using the sparrow search algorithm (SSA) to optimize the long and short-term memory network (LSTM). The original electricity price sequence is decomposed into multiple modal components using VMD. Then, each piece is predicted separately using an SSA-optimized LSTM. For the element with the worst prediction accuracy, IMF-worst is decomposed for a second time using VMD to explore the price characteristics further. Finally, the prediction results of each modal component are reconstructed to obtain the final prediction results. To verify the validity and accuracy of the proposed model, this paper uses data from three electricity markets, Australia, Spain, and France, for validation analysis. The experimental results show that the proposed model has MAPE of 0.39%, 1.58%, and 0.95%, RMSE of 0.25, 0.9, and 0.3, and MAE of 0.19, 0.68, and 0.31 in three different cases, indicating that the proposed model can well handle the nonlinear and non-stationarity characteristics of the electricity price series and has superior forecasting performance. Full article
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