The European electricity system undergoes significant changes driven by the European Union (EU) common rules for the internal market for electricity, as well as by the climate action agenda. The European Green Deal is also an opportunity for modernizing the energy system in order to make it competitive and sustainable with regard to the environment.
Data in the energy domain grows at unprecedented rates and is usually generated by heterogeneous energy systems.
Despite the great potential that big data-driven technologies can bring to the energy sector, general adoption is still lagging. Several challenges related to controlled data exchange and data integration are still not wholly achieved. As a result, fragmented applications are developed against energy data silos, and data exchange is limited to few applications.
Challenges for Transforming Big data into Knowledge: Precision Medicine- A Use Case
This is akeynote lecture from prof. Maria-Esther Vidal Scientific Data Management Group TIB
This is an Invited Lecture delivered at the Big Data Analytics Summer School 2020 by Dr. Debasis Das, Indian Institutes of Technology(IIT) Jodhpur.
This is a Lecture delivered at Big the Data Analytics Summer School 2020 by Dr. Tomas Krajnik, Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University in Prague.
This is a Keynote Lecture delivered at the Big Data Analytics Summer School 2020 by Dr Gloria Bordogna, Italian National Research Council IREA
This is a Keynote Lecture delivered at the Big Data Analytics Summer School 2020 by Dr. Mariana Damova, Mozajka.
With the aim of improving ecological interest, the share of renewable energy sources (RES) in energy production has to be increased. Nonetheless, that growth adversely influences the grid’s instability, as a result of the dependency between the RES production and weather conditions.
The initial release of KGs was started on an industry scale by Google and further continued with the publication of other large-scale KGs such as Facebook, Microsoft, Amazon, DBpedia, Wikidata and many more. As an influence of the increasing hype in KG and advanced AI-based services, every individual company or organization is adapting to KG. The KG technology has immediately reached industry, and big companies have started to build their own graphs such as the industrial Knowledge Graph at Siemens.