Campus Nord, Geb. 449, Raum 140
Frau Prof. Dr. Cigdem Yalcin, Istanbul University, Fizik Bölümü Yüksek Enerji ve Plazma Fiziği Anabilim Dalı'nda doçenttir
Numerous real-world systems, whether they are of natural or human origin, display complex interactions and dynamics evolving over time. As well known, transforming time series data into a complex network representation helps to gain a deep understanding of the dynamics underlying the data. In this talk, I will provide an introduction about converting time series to complex networks and then introduce a new approach in the context of physics for converting spatial-temporal series data into a complex network. And as an example study, I will discuss its application to the air quality of various regions in Istanbul, the largest metropolitan city in Turkiye with a population of approximately 16 million.
Campus Nord, Gebäude 449, Raum 140
Prof. Dr. Christian Beck, Queen Mary University London, School of Mathematical Sciences
Power grids are the biggest machines on Earth. They are also the most complex ones,
as they involve human beings and their complex correlated electricity consumption patterns.
In this talk I will give some short overview on data-driven research dealing with frequency fluctuations in power grids. Whereas variations in the dynamics of renewable energy generation are reasonably well studied, a deeper understanding of the variations in consumer consumption dynamics is still missing. I will talk about highly resolved residential electricity consumption data of Austrian, German and UK households and introduce a stochastic model to quantitatively capture the highly intermittent demand fluctuations.
