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Tackling Wicked Problems in Energy Informatics with Big Data and Analytics (CROSBI ID 688199)

Prilog sa skupa u zborniku | prošireni sažetak izlaganja sa skupa | domaća recenzija

Babić, Jurica ; Pevec, Dario ; Jelen, Goran ; Podobnik, Vedran Tackling Wicked Problems in Energy Informatics with Big Data and Analytics // Proceedings of the 1st International Workshop on Data Science (IWDS 2016) / Lončarić, Sven (ur.). Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2016. str. 1-2

Podaci o odgovornosti

Babić, Jurica ; Pevec, Dario ; Jelen, Goran ; Podobnik, Vedran

engleski

Tackling Wicked Problems in Energy Informatics with Big Data and Analytics

Nowadays, there is a universal trend that aims to provide solutions for urgent societal challenges which will secure sustainable growth. More specifically, low-carbon economy, environmental sustainability, smart energy systems and business environment improvements are particularly interesting areas for both research community as well as society. Wicked problems related to such areas are caused by inherently dynamic and convoluted interactions among social, economic, political and technical factors within complex sociotechnical energy system. All these problems naturally fall under the research agenda in the field of energy informatics, which in general applies information systems (IS) thinking and skills to increase the efficiency of energy demand and supply systems. Apart from IS scientists and practitioners, methods and contributions are needed from experts in other domains (e.g., power system and computer science) as well. Specifically, what seems to be alluring for data scientists is the fact complex sociotechnical energy systems naturally generate vast amount of data. Consequently, this leads to the conclusion big data approaches now become crucial.

Energy Informatics ; Wicked Problems ; Big Data ; Analytics

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Podaci o prilogu

1-2.

2016.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of the 1st International Workshop on Data Science (IWDS 2016)

Lončarić, Sven

Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu

Podaci o skupu

1st International Workshop on Data Science (IWDS 2016)

poster

30.11.2016-30.11.2016

Zagreb, Hrvatska

Povezanost rada

Elektrotehnika, Računarstvo, Tehnologija prometa i transport