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Applied Sciences
Special Issues
AI and Security Application in Green Energy and Renewable Power
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AI and Security Application in Green Energy and Renewable Power

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Green Sustainable Science and Technology".

Deadline for manuscript submissions: closed (20 February 2023) | Viewed by 6918

Special Issue Editors

Dr. Robin Singh Bhadoria

E-Mail Website
Guest Editor
Department of Computer Science & Engineering, Birla Institute of Applied Sciences (BIAS), Bhimtal, Uttarakhand 263136, India
Interests: machine learning; fuzzy system; blockchain technology; secure communication; Internet of Things; service-oriented achitecture
Dr. Neetesh Saxena

E-Mail Website
Guest Editor
School of Computer Science and Informatics, Cardiff University, Queen's Buildings, 5 The Parade, Newport Road, Cardiff CF24 3AA, UK
Interests: cyber security; cellular communication; human-centric security; Internet of Things; smart grid security
Special Issues, Collections and Topics in MDPI journals
Dr. Ashish Bagwari

E-Mail Website
Guest Editor
Department of Electronics & Communication Engineering, Women Institute of Technology (WIT), Dehradun, Uttarakhand 248007, India
Interests: cognitive radio networks; wireless sensor networks; underwater communication signal; deep learning; micro-strip patch antenna

Special Issue Information

Dear Colleague,

The importance of energy and power for our day-to-day life has become an essential component in handling various tasks associated with learning and computation with the scope of sustainable technology. The driving force for such requirements could be delivered by incorporating various techniques from evolutionary computation (EC) that helps in building bridges between issues facing civilization today and sustainable science and technology. The role of fuzzy logic control in green energy and renewable power computation determines the new paradigms in sustainable science and technology. In this way, many challenges and opportunities still need consideration to design and develop novel methodology and new knowledge for several applications, such as power consumption in blockchain technology, sharing of channels in cognitive radio networks, and many more.

The primary aim of this Special Issue is to publish pioneering research works that examine both the practical and trending aspects of green energy and renewable power sources. We are additionally interested in articles that address the latest challenges faced in EC with respect to fuzzy logic control and artificial intelligence, particularly those that offer advancements in the field of EC in the form theoretical and applied science perceptions. Finally, any innovative proposal that supports improvements in feature extraction in fuzzy systems, computational data analytics, convergence robustness for decision systems, or scalability in cloud resource provisioning will be taken into consideration.

Dr. Robin Singh Bhadoria
Dr. Neetesh Saxena
Dr. Ashish Bagwari
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. Applied Sciences 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

  • power-aware secure machine learning strategies and applications
  • green energy computation and simulation methods in legacy application
  • power consumption for transactions in blockchain technology
  • secure energy management and power efficiency using artificial intelligence
  • cloud resource provisioning based on fuzzy logic and decision system

Published Papers (3 papers)

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Research

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17 pages, 2227 KiB  
Article
Benefit Analysis of Grid-Connected Floating Photovoltaic System on the Hydropower Reservoir
by Nghia-Hieu Nguyen, Bao-Chi Le and Thanh-Trung Bui
Appl. Sci. 2023, 13(5), 2948; https://doi.org/10.3390/app13052948 - 24 Feb 2023
Cited by 6 | Viewed by 1617
Abstract
In the step-by-step roadmap for limiting and eliminating power sources that use fossil fuel, especially coal-fired power, as well as for setting the Vietnamese government targets for developing renewable energy for replacement, solar farms and rooftop solar power, followed by floating photovoltaic (PV) [...] Read more.
In the step-by-step roadmap for limiting and eliminating power sources that use fossil fuel, especially coal-fired power, as well as for setting the Vietnamese government targets for developing renewable energy for replacement, solar farms and rooftop solar power, followed by floating photovoltaic (PV) power, are considered the best candidates for meeting the goals of land space, PV system operation efficiency, and meeting environmental goals. In addition to the rapid development of PV cell technology are the government’s incentives and financial support for PV plants on the water surface area, which is still very large. Floating PV plants will strongly attract investors in the near future. This study could help stakeholders in the market understand the economic–technical aspects from analyzing economic–financial indicators of floating PV plants with a capacity of 47.5 MW connected to the national utility grid 110 kV at Da Mi hydropower reservoir in Binh Thuan province, Vietnam, in May 2019. This is the first floating PV plant on the reservoir in Vietnam, and is the property of a third party. Full article
(This article belongs to the Special Issue AI and Security Application in Green Energy and Renewable Power)
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16 pages, 10272 KiB  
Article
Interval Type-2 Fuzzy Logic Control-Based Frequency Control of Hybrid Power System Using DMGS of PI Controller
by Swati Rawat, Bhola Jha, Manoj Kumar Panda and Jyotshana Kanti
Appl. Sci. 2021, 11(21), 10217; https://doi.org/10.3390/app112110217 - 1 Nov 2021
Cited by 4 | Viewed by 1818
Abstract
The load frequency control of a microgrid is one of the emerging areas due to the changes in demand and supply in power system. So the controllers’ implementation must be changed accordingly. This paper proposes an interval type-2 fuzzy logic-based, dual-mode gain scheduling [...] Read more.
The load frequency control of a microgrid is one of the emerging areas due to the changes in demand and supply in power system. So the controllers’ implementation must be changed accordingly. This paper proposes an interval type-2 fuzzy logic-based, dual-mode gain scheduling (DMGS) of the proportional and integral controller in which the gains of the PI controller werescheduled through the dynamic selector. This proposed controller was implemented ina hybrid microgrid power system in which nonconventional energy sources wereadded to each area of the conventional power plant, which madethe system much more prone to frequency variations. The controller was designed for three areas, consisting of a photovoltaic (PV) system, a wind power system, a fuel cell and a diesel engine/hydropower generator in which the generation rate constraint (GRC) was considered as a nonlinearity. The proposed power system was investigated under various load conditions in the MATLAB/SIMULINK environment. A comparative evaluation of changes in frequency, tie-line power fluctuations and variations in area control errors for the test system showed the effectiveness of the current approach over simple fuzzy PI and a conventional PI-controlling approach. Full article
(This article belongs to the Special Issue AI and Security Application in Green Energy and Renewable Power)
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Review

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8 pages, 1617 KiB  
Review
Different DNA Sequencing Using DNA Graphs: A Study
by Abdulaziz M. Alanazi, G. Muhiuddin, Doha A. Al-Balawi and Sovan Samanta
Appl. Sci. 2022, 12(11), 5414; https://doi.org/10.3390/app12115414 - 26 May 2022
Cited by 3 | Viewed by 2325
Abstract
Natural genetic material may shed light on gene expression mechanisms and aid in the detection of genetic disorders. Single Nucleotide Polymorphism (SNP), small insertions and deletions (indels), and major chromosomal anomalies are all chromosomal abnormality-related disorders. As a result, several methods have been [...] Read more.
Natural genetic material may shed light on gene expression mechanisms and aid in the detection of genetic disorders. Single Nucleotide Polymorphism (SNP), small insertions and deletions (indels), and major chromosomal anomalies are all chromosomal abnormality-related disorders. As a result, several methods have been applied to analyze DNA sequences, which constitutes one of the most critical aspects of biological research. Thus, numerous mathematical and algorithmic contributions have been made to DNA analysis and computing. Cost minimization, deployment, and sensitivity analysis to many factors are all components of sequencing platforms built on a quantitative framework and their operating mechanisms. This study aims to investigate the role of DNA sequencing and its representation in the form of graphs in the analysis of different diseases by means of DNA sequencing. Full article
(This article belongs to the Special Issue AI and Security Application in Green Energy and Renewable Power)
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