EuroCC NCC Montenegro – We are excited to announce that UDG become new BDVA i-spaces member! In the previous period there was 25 applicants, 17 newly granted labels, 7 renewed labels and new 8 countries included.
BDVA/DAIRO grants a label for European Data Innovation Spaces and Hubs to help drive forward Big Data adoption and AI based innovation across all domains within European industry. Every year, existing hubs can obtain a label as a “BDVA/DAIRO i-Space”, after an evaluation process based on a comprehensive criterion catalogue. Read more at the following link.
Mr. Milutin Pavicevic just defended his Master thesis titled: “Investigation of neural network efficiency in prediction electricity prices in the day-ahead market”. The work focused on the use of artificial intelligence and exploration of various prediction models based on neural networks in order to improve prediction of electricity prices.
ABSTRACT – The power of neural networks in approximating continuous functions has led to more widespread use of this type of artificial intelligence in the field of time-series forecasting. This work examines the efficiency oftime-series prediction models when given the dataset of hourly values connected to day-ahead market of electrical energy. It presents the processing and windowing of the data to fit the prediction models, describes the specifics of the day-ahead market of electrical energy and more closely describes the way each of the used neural network models works. The work looks at created neural network models with dense layers, convolutional neural networks (CNN) and recurrent neural networks (LSTM), and measures their performance. Testing results show their accuracy when predicting based on the dataset of hourly values of day-ahead electricity on the HUPX market, coupled with the hourly weather data, as well as the related dataset of the hourly values of electricity consumption in Montenegro.
H2020 AIMHiGH – FoodHub Centre of Excellence and Faculty for Information Systems and Technologies at the University of Donja Gorica organized a workshop on Digitalization in Agriculture and Food Supply Chain. This was an online event managed through Moodle LMS platform during Octobar 7-15, 2021. There was over 50 attendees, mainly students and faculty members, but also some representatives from the industry. The organization of the event was done in the context of DIPOL project sponsored by the Ministry of Science of Montenegro. UDG and DNET were responsible for the realization of the event. H2020 AIMHiGH project done as an experiment within the FF4EuroHPC project was presented by Mr. Stevan Cakic.
HPC NCC Montenegro presented the EuroCC project at the 4th Western Balkan (WB6) Digital Summit event. EuroCC was presented withing the Inspiring Cases presentations. The 4th Western Balkan (WB6) Digital Summit was organized in hybrid platform, 11-13 October 2021 in Podgorica, Montenegro. The third day is an occasion of organizing high level meeting, gathering the WB6 prime ministers on the common path of digital transformation and integration process. Building on the experience of the high-level regional dialogue on digital transformation, the Western Balkan Digital Summit 2021 will be held in the framework of the Berlin Process and the Common Regional Market Action Plan for the Western Balkans adopted in Sofia in November 2020. This Summit will bring together high-level representatives of the Governments from the Western Balkan economies, the European Commission (EC), the Regional Cooperation Council (RCC), business community and relevant stakeholders. The WB6 Digital Summit 2021 aims at showcasing good practices in the Western Balkans, highlighting the achievements and outcomes of the Digital Agenda, and exploring possibilities of building partnerships with the private sector, in the context of the digital transformation process. The Summit promotes the Western Balkans digital perspective in the context of EU integration, while drawing the Path Ahead in the Digital Agenda, in order to prioritize the key objectives for the region. The Digital Summit will cover 4 main platforms: Network & Services Connectivity, Trust and Security, Digital Skills and Digital Economy.
More information about the event can be found here.
NCC Montenegro participated in the project review event, October 12-14, 2021. Project Management Team gave presentations on the overall progress and status of WPs, while each NCC gave presentation on its own status. Montenegrin team presented activities and first year achievements, as well as the plans for the second year.
Mr. Stevan Cakic from UDG, participated in the Montenegrin event organized under European Researchers’ Night 2021 on September . This was a 12-hour virtual event and Mr Cakic gave a presentation on his research work at UDG. The presentation discussed digital transformation and the use of AI/ML and HPC different domains and gave information about main projects being implemented at UDG. The presentation can be seen on YouTube, here.
UDG researchers will be presenting the paper titled “Forecasting Day-Ahead Electricity Price with Artificial Neural Networks: a Comparison of Architectures”, authored by M. Pavicevic and T. Popovic, at the upcoming IEEE IDAACS 2021 conference. The conference will be taking place on 22-25 September 2021. The paper presents the use of AI/ML algorithms and CNN architectures for prediction of prices for the electric energy markets. More info on the conference is available at the following link.
ABSTRACT – The spot price prediction for the electric energy markets is a widely approached problem, used by many participants in the market. The ever-shifting rules and regulations, rising percentage of the electricity on the market being produced by solar and wind plants and many stochastic factors influencing it make the market price of electricity very volatile and hard to forecast. Many methods are used to tackle this problem, and their efficiency varies from dataset to dataset. In this work, we use the dataset of hourly day-ahead spot prices from the Hungarian HUPX market, and couple it with weather data for Hungary. We test various types of Dense, Recurrent and Convolutional neural network architectures and report on the results.