Tag disruptive technologies

Rii Forum 2023 “Innovation 5.0: Navigating shocks and crises in uncertain times Technology-Business-Society” & a plenary debate “Advances in ICT & the Society”

Anastasija Nikiforova Leave a comment

The last week I had an unforgettable experience at the Research and Innovation Forum (Rii Forum) on which I posted previously in Krakow, Poland acting as plenary speaker and a chair for a session.

Last week, I had an unforgettable experience at the Research and Innovation Forum (RiiForum) in Krakow, Poland, serving as plenary speaker and session chair. It was another great experience to have an absolutely amazing plenary session titled “Advances in ICT & the Society: threading the thin line between progress, development and mental health”, where we – Prof. Dr. Yves Wautelet, Prof. Dr. Marek Krzystanek, Karolina Laurentowska & Prof. Marek Pawlicki – discussed disruptive technologies in our professional lives in the past years, how they affected us and our colleagues, how they affect(ed) society and its specific groups, including their mental health, and general perception of technology, i.e. an enemy of humanity, or rather a friend and support, and how to make sure the second take place. And from this we have developed a discussion around AI, chatGPT, Metaverse, blockchain, even slightly touching on quantum computing. Of course, all this was placed in the context of democracy and freedoms / liberties. All in all, we approached the topic of governance and policy-making, which is too often reactive rather than proactive, which, in turn, leads to many negative consequences, as well as elaborated on the engineering practices. 

To sum up – emerging and disruptive technologies, Blockchain, AI, Metaverse, digital competencies, education, liberty, democracy, openness, engagement, metaverse, inclusivity, Industry 5.0, Society 5.0 – and it is not a list of buzzwords, but a list of topics we have managed to cover both plenary speakers and the audience and continued to talk about them during the whole conference. Rich enough, isn’t it?

And then the day did not end, continuing with several super insightful sessions, where, of course, one I enjoyed most is the one that I chaired. Three qualitative talks with further rich discussion after each thanks to an excellent audience, despite the fact this was the last session of the day (before the dinner), namely:

  • Privacy in smart cities using VOSviewer: a bibliometric analysis by Xhimi Hysa, Gianluca Maria Guazzo, Vilma Cekani, Pierangelo Rosati
  • Public policy of innovation in China by Krzysztof Karwowski, Anna Visvizi
  • How Human-Centric solutions and Artificial Intelligence meet smart cities in Industry 5.0 by Tamai Ramirez, Sandra Amador, Antonio Macia-Lillo, Higinio Mora
     

And the last, but not the least, Krakow surprised me lot (in a positive sense, of course) – it was my first time in Poland, and I am absolutely glad that it was on such a beautiful city as Krakow – the place with the rich history and culture! Thank you dear RiiForum2023 organizers – Anna Visvizi, Vincenzo Corvello, ORLANDO TROISI, Mara Grimaldi, Giovanni Baldi and everyone who was involved – it is always a pleasure to be a part of this community!

 

A8: Artificial Intelligence and Smart Energy

First paper in my Special Issue “Hybrid Data-Driven and Physical Modelling for Energy-Related Problems: Towards Smarter Energy Management”

Anastasija Nikiforova Leave a comment

As an academic editor of the Special Issue “Hybrid Data-Driven and Physical Modelling for Energy-Related Problems: Towards Smarter Energy Management” (Energies MDPI, Impact Factor:3.004 (2020); 5-Year Impact Factor: 3.085 (2020)), I am glad to announce that the first article has been published!

This very special for me issue belongs to the section “A8: Artificial Intelligence and Smart Energy” and it seeking for the latest research on advances in the field covering both data-related topics and next-generation power electronic techniques and their applications. All papers accepted for their publishing are published in an Open Access, thereby significantly contributing to the visibility of these papers, and are submitted for their indexation in both Scopus and Web of Science in addition to other databases. The journal also falls in Q1 (Cite Score, Control and Optimization).

Topics of interest for this Special Issue include, but are not limited to:

  • energy management systems
  • data-driven approaches to energy-related issues
  • advances in energy analytic, including open data on energy, its benefits, re-uses and impact
  • Big Data management in the context of energy data
  • machine learning (ML) techniques
  • physical modelling for energy-related problems
  • disruptive technology of renewable energy
  • blockchain for Internet of energy management
  • the role of the “energy” within the context of Industry 4.0 and Sustainable Goals
  • energy data management in the context of the internet of things (IoT)
  • energy data management via distributed systems
  • smart grid and microgrid
  • sustainable electrical energy systems
  • hybrid and electric vehicle.

This Special Issue is of articular importance, given that energy-related issues are becoming more and more relevant today, including the topic of disruptive technologies, where renewable energy is referred to as one of the 12 most significant disruptive technologies. The topic is no longer limited to energy production/generation and storage and supply as a source of energy; it is becoming broader, including the close links with the electrification of transport, including electric vehicles (smart and green transportation), industrial automation, energy storage systems, data storage and data management systems. With both being very common, and at the same time disruptive and new, energy-related issues relate to both the adaptation of well-known foundations for recent trends and the optimization of the methods and techniques already used, as well as introducing completely new methods and developing new applications, thereby promoting open innovation and smarter living.

Special Issue “Hybrid Data-Driven and Physical Modelling for Energy-Related Problems: Towards Smarter Energy Management”


The first paper accepted for its publishing in the SI is entitled “Machine Learning Schemes for Anomaly Detection in Solar Power Plants” and is authored by Mariam Ibrahim (German Jordanian University), Ahmad Alsheikh (Deggendorf Institute of Technology), Feras M. Awaysheh (University of Tartu Institute of Computer Science) and Mohammad Dahman Alshehri (Taif University). The paper deals with the anomaly detection in photovoltaic (PV) systems by evaluating the performance of different machine learning schemes – AutoEncoder Long Short-Term Memory (AE-LSTM), Facebook-Prophet, and Isolation Forest – and applying them to detect anomalies on photovoltaic components. These models allow the authors to identify the PV system’s healthy and abnormal actual behaviors. The results provide clear insights to make an informed decision, especially with experimental trade-offs for such a complex solution space. The issue explored is all the more topical considering the rapid industrial growth in solar energy, which gains an increasing interest in renewable power from smart grids and plants.

I am very glad and honored to be an academic editor of both this issue (together with my colleagues from Germany and Greece) and this paper in particular.

Special Issue, Academic Editor

Looking forward further submissions (particular focus on advances in the field covering both data-related topics and next-generation power electronic techniques and their applications)!!!