Editorial Material
Engineering, Electrical & Electronic
Xinbo Ruan, Pablo Fernandez Miaja, Jesus A. Oliver
Summary: Aerospace applications have driven the development of power electronics, particularly in the area of switching mode power systems. Seminal works in this field, such as those funded by NASA and developed by ESA, have significantly contributed to the advancement of power electronics technology.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2022)
Article
Computer Science, Artificial Intelligence
Junjie Shi, Jiang Bian, Jakob Richter, Kuan-Hsun Chen, Jorg Rahnenfuhrer, Haoyi Xiong, Jian-Jia Chen
Summary: The predictive performance of a machine learning model depends on hyper-parameter setting, making hyper-parameter tuning crucial. In distributed machine learning, collecting all data is challenging, thus the MODES framework is proposed to deploy MBO on resource-constrained distributed embedded systems to optimize combined prediction accuracy.
Editorial Material
Engineering, Aerospace
Sabah Mohammed, Ruay-Shiung Chang, Carlos Ramos, Tai-Hoon Kim
Summary: This article focuses on the current applications and innovations of artificial intelligence and machine learning in the aerospace industry, emphasizing their role in improving speed, efficiency, workload, and safety.
IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE
(2022)
Article
Computer Science, Artificial Intelligence
Alejandro Moran, Vincent Canals, Fabio Galan-Prado, Christian F. Frasser, Dhinakar Radhakrishnan, Saeid Safavi, Josep L. Rossello
Summary: Edge artificial intelligence is a growing research field, and reservoir computing has attracted attention as a feasible alternative for edge intelligence. This study proposes a simple hardware-optimized circuit design for low-power edge intelligence applications and demonstrates its implementation in FPGA for low-power audio event detection. The results show significant accuracy and ultra-low energy consumption for the proposed approach.
COGNITIVE COMPUTATION
(2023)
Editorial Material
Computer Science, Hardware & Architecture
Ryusuke Egawa, Yasutaka Wada
Summary: This special issue of IEEE Micro features two contributions from the presentations at Cool Chips 25. The articles focus on a system-on-chip with ternary neural network/temporal convolutional neural network accelerator, and body bias optimization for coarse-grained reconfigurable architectures, respectively. These topics were among the emerging research areas at Cool Chips 25.
Editorial Material
Computer Science, Hardware & Architecture
Makoto Ikeda, Fumio Arakawa
Summary: This article presents three significant contributions from Cool Chips 24 conference: acceleration of convolutional neural networks (CNN), training of mobile deep neural networks (DNN), and a supercomputer. These research papers were written by authors from China, Korea, and Japan, respectively, and they all focus on emerging topics at Cool Chips 24.
Article
Thermodynamics
A. G. Olabi, Aasim Ahmed Abdelghafar, Hussein M. Maghrabie, Enas Taha Sayed, Hegazy Rezk, Muaz Al Radi, Khaled Obaideen, Mohammad Ali Abdelkareem
Summary: Energy storage is crucial in maximizing energy sources, reducing costs, and enhancing the reliability of power grids. Artificial intelligence, such as particle swarm optimization and artificial neural networks, has been widely studied and applied in this field. This study explores the progress of using AI in optimizing and controlling thermal energy storage systems, analyzing their performance and providing recommendations for future research.
THERMAL SCIENCE AND ENGINEERING PROGRESS
(2023)
Article
Energy & Fuels
Dorian Skrobek, Jaroslaw Krzywanski, Marcin Sosnowski, Ghulam Moeen Uddin, Waqar Muhammad Ashraf, Karolina Grabowska, Anna Zylka, Anna Kulakowska, Wojciech Nowak
Summary: In recent years, artificial intelligence (AI) has gained popularity and is being increasingly used by scientists and entrepreneurs. Advances in electronics and computer science have contributed to the development of AI. AI is expanding into various scientific domains such as medicine, economics, management, and the power industry, as it provides intelligent machines to discover new relationships in the world. This article focuses on the practical use of artificial neural networks, discussing their development from 1940 to 2022, important publications, achievements in AI, and potential future directions.
Editorial Material
Computer Science, Artificial Intelligence
Yang Tang, Gary Yen, Juergen Kurths
Summary: This special section of papers focuses on the use of computational intelligence for perception and decision making in autonomous systems. Autonomous systems have shown great potential in efficiently completing complex tasks that humans cannot achieve, thanks to their powerful capabilities in environmental perception, real-time computing, and intelligent decision-making. However, traditional algorithms may struggle with the high-dimensional, heterogeneous, unstructured, and unpredictable data from different sensors. Recent advancements in computational intelligence algorithms, such as deep neural networks and evolutionary algorithms, have the ability to extract useful information from diverse data sources and have been successfully applied in computer vision and natural language processing. Therefore, integrating advanced computational intelligence algorithms with autonomous systems is promising for achieving high-level environmental perception and decision-making.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE
(2022)
Article
Green & Sustainable Science & Technology
Enas Taha Sayed, A. G. Olabi, Khaled Elsaid, Muaz Al Radi, Concetta Semeraro, Mohammad Hossein Doranehgard, Mohamed Elrayah Eltayeb, Mohammad Ali Abdelkareem
Summary: Using various renewable energy resources to power desalination plants is an encouraging choice, especially in arid and remote areas. However, the unpredictable load demands and intermittency nature of these resources make designing such systems difficult. This work discusses various artificial intelligence techniques to enhance RES-powered desalination systems.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Energy & Fuels
Jiwon Park, Sung Hyup Hong, Sang Hun Yeon, Byeong Mo Seo, Kwang Ho Lee
Summary: In this study, the prediction performances of regression models and deep learning-based predictive models were compared for hourly insolation prediction. The artificial neural networks (ANN) and long short-term memory (LSTM) models showed reliable predictive performances with CV(RMSE) of 14.0% and 15.8% respectively. The study proposed a direction for future research by utilizing insolation data from previous time-steps and considering variables related to sunrise and sunset for improving predictive performance.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2023)
Editorial Material
Computer Science, Theory & Methods
Qin Liu, Guojun Wang, Jiankun Hu, Jie Wu
Summary: This article introduces the increasing awareness of data security in emerging applications and the growing attention to AI-enabled security mechanisms. It provides an overview of 14 papers that report the development of AI and AI-enabled secure emerging applications, focusing on security and privacy issues.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2022)
Editorial Material
Engineering, Electrical & Electronic
Darko Zibar, Sergei Turitsyn, Bahram Jalali, Keisuke Kojima, Marija Furdek
Summary: The papers in this special section focus on the application of machine learning in photonic communication and measurement systems. Machine learning has become mainstream in recent years, offering researchers in photonics new and highly-effective tools for designing components and systems, optimizing transmission systems, and obtaining more accurate measurements.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2022)
Editorial Material
Materials Science, Multidisciplinary
Luigi Calabrese, Edoardo Proverbio
Summary: Recent Developments on Functional Coatings for Industrial Applications, Volume II aims to provide further insights into new and emerging research assets related to the design, manufacturing, characterization, and optimization of functional coatings for industrial applications, emphasizing their applicability in various industries. The multidisciplinary nature of the theme will enhance the importance and versatility of engineering design of functional surfaces. A multidisciplinary approach will encourage researchers to effectively utilize the applicative relevance and adaptability of functional coating and surface engineering design.
Article
Mathematics
Alma Y. Alanis, Oscar D. Sanchez, Jesus G. Alvarez
Summary: A novel methodology using a high-order neural network and the extended Kalman filter algorithm for online training is proposed for time series forecasting in wind energy systems. Unlike other modern artificial intelligence forecasting methods, this approach is simple to implement, has low computational complexity, and can generate high-precision predictions in real-time.
Article
Thermodynamics
Stefano Aneli, Antonio Gagliano, Hasan Demir, Giuseppe Marco Tina, Gamze Gediz Ilis
Summary: This study analyzed the performance of a solar-driven adsorption chiller in the Mediterranean area and explored the effectiveness and limitations of using photovoltaic/thermal panels as the energy source. The results showed that the investigated PVT-ADS system achieved significant cooling energy and electrical production during a typical summer day.
APPLIED THERMAL ENGINEERING
(2022)
Article
Multidisciplinary Sciences
Giuseppe Marco Tina, Fausto Bontempo Scavo
Summary: This study evaluates the annual energy performance of floating photovoltaic systems in different locations and compares it with ground photovoltaic systems. The study finds that bifacial modules and natural cooling can increase energy output, and different system configurations have different gains.
Article
Energy & Fuels
Giuseppe Marco Tina, Giovanni Maione, Sebastiano Licciardello
Summary: Reliability and safety are crucial in today's power systems as they transition towards higher penetration of renewable, inverter-based generation units. This study conducts a comparative technical analysis of solutions to improve transient stability, focusing on rotor angle stability and frequency stability.
Article
Thermodynamics
Giuseppe Marco Tina, Stefano Aneli, Antonio Gagliano
Summary: This study presents a case study of a Mediterranean shopping centre participating in the ancillary services market. It identifies opportunities and barriers for commercial buildings to provide flexibility to the transmission system operator by adjusting indoor temperature and reducing HVAC system power.
Article
Energy & Fuels
Leonardo Micheli, Diego L. Talavera, Giuseppe Marco Tina, Florencia Almonacid, Eduardo F. Fernandez
Summary: Floating photovoltaics can effectively reduce land occupancy and capital expenditures, especially in the Mediterranean region. However, in some cases, floating photovoltaics may not achieve the same energy output as land-based photovoltaics. Nevertheless, they can still be cost competitive if the installation costs are reduced by less than 12%.
Article
Green & Sustainable Science & Technology
Nabil A. S. Elminshawy, Amr Osama, Noha Naeim, Osama Elbaksawi, Giuseppe Marco Tina
Summary: This study investigates the thermal regulation of a floating photovoltaic (FPV) system by submerging a portion of the FPV module. A MATLAB/Simulink model is used to compare three FPV configurations and analyze the electrical benefits of a partially floating photovoltaic (PFPV) system. Experimental work validates the proposed model, confirming the improvement in temperature drop, electrical power generation, and electrical efficiency when a certain percentage of the PFPV system is submerged.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Energy & Fuels
Salvatore Di Grazia, Giuseppe Marco Tina
Summary: The demand for electrical energy is increasing, and renewable energy generation, particularly floating photovoltaics, is a potential solution. The floating system has benefits such as water evaporation reduction and algae growth prevention. Through multi-criteria decision analysis, horizontal axis tracking systems were determined to be the superior technology option in a Sicilian system, with lower Levelized Cost Of Electricity and reduced CO2 emissions.
INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY
(2022)
Article
Energy & Fuels
Gaetano Mannino, Giuseppe Marco Tina, Mario Cacciato, Lorenzo Todaro, Fabrizio Bizzarri, Andrea Canino
Summary: The need to combat global warming by replacing fossil energy sources with renewable energy sources has contributed to the growth and development of various technologies, including photovoltaics. The PV technology is constantly evolving to improve the efficiency and durability of PV modules. Bifacial PV modules are gaining a larger market share due to their higher energy and power density at a similar price to conventional PV modules.
Article
Energy & Fuels
Salvatore Di Grazia, Giuseppe Marco Tina
Summary: Solar energy is experiencing rapid growth due to reduced implementation costs, and European development plans predict a significant increase in installed capacity. To meet this demand, new identifiable areas on water surfaces are needed for the development of floating photovoltaic (FPV) systems, which can mitigate the environmental impacts of land-based installations. This study proposes a methodology using GIS and MCDA to identify suitable sites for FPV installation, demonstrating the potential benefits in regions like Sicily with high summer temperatures. The San Giovanni Dam was identified as the best site for FPV allocation through MCDA.
INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY
(2023)
Article
Energy & Fuels
Gaetano Mannino, Giuseppe Marco Tina, Mario Cacciato, Leonardo Merlo, Alessio Vincenzo Cucuzza, Fabrizio Bizzarri, Andrea Canino
Summary: The degradation trend of photovoltaic modules depends on technology, manufacturing techniques, and climatic conditions. The longer useful life of PV modules is beneficial for the environment and cost effectiveness. The development of agrivoltaic systems and floating PV systems addresses land use issues and offers opportunities for energy production.
Article
Green & Sustainable Science & Technology
Claudio Francesco Nicolosi, Giuseppe Marco Tina, Ghjuvan Antone Faggianelli, Gilles Notton
Summary: Climate and climate change have an impact on energy production and demand. This paper analyzes the climatological trends and correlations of various atmospheric variables in Corsica, and also provides climate projections for future planning. The study finds that climate change is altering trends in precipitation, humidity, temperature, wind speed, and temperature range. The correlation analysis shows the relationships between different variables, while the projections suggest considering climate change in medium-term and long-term planning.
Article
Green & Sustainable Science & Technology
Stefano Aneli, Roberta Arena, Giuseppe Marco Tina, Antonio Gagliano
Summary: To achieve the EU's 2030 goal of reducing greenhouse gas emissions, many residential buildings can install rooftop or building-integrated PV systems. A study found that by using thermal and electric energy storage, the self-consumption and self-sufficiency of typical residential buildings can be improved by three times. These findings are useful for designing storage systems and solar-assisted heat pump systems.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Giuseppe Marco Tina, Cristina Ventura, Lanuzza Luigi, Massimiliano Maurizio De Benedetti, Daniele Dugo
Summary: The main problems with non-programmable generation systems, particularly photovoltaic systems, are related to the stability of power systems in terms of angle and frequency. New regulations have been introduced to ensure that distributed generation participates in network stability by providing ancillary services such as voltage and frequency regulation. Italian standards require residential PV inverters to have the capability to absorb or supply reactive energy in order to mitigate voltage problems. In response to these requirements, manufacturers have made changes to allow residential inverters on the market to adjust the power factor.
2022 IEEE 21ST MEDITERRANEAN ELECTROTECHNICAL CONFERENCE (IEEE MELECON 2022)
(2022)
Article
Materials Science, Multidisciplinary
Anoir Souissi, Imen Guidara, Maher Chaabene, Giuseppe Marco Tina, Moez Bouchouicha
Summary: This paper proposes a PVG forecast model for a PVG/Battery installation, which combines medium-term and short-term energy forecasting strategies to accurately predict energy generation and ensure battery safety.
FDMP-FLUID DYNAMICS & MATERIALS PROCESSING
(2022)
Article
Computer Science, Information Systems
Salvatore Leonardi, Giuseppe Marco Tina, Natalia Distefano
Summary: This study evaluates the self-sufficiency of roundabouts by installing photovoltaic systems to power lighting, depending on available installation area and energy demand. The findings suggest that roundabouts can achieve self-sufficiency for lighting by using appropriate photovoltaic systems.
APPLIED SYSTEM INNOVATION
(2022)
