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Title:
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THE I-NERGY REFERENCE ARCHITECTURE
FOR THE PROVISION OF NEXT GENERATION ENERGY
SERVICES THROUGH ARTIFICIAL INTELLIGENCE |
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Author(s):
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Evangelos Karakolis, Sotiris Pelekis, Spiros Mouzakitis, Georgios Kormpakis, Vasilis Michalakopoulos and John Psarras |
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ISBN:
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978-989-8704-47-4 |
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Editors:
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Piet Kommers, Inmaculada Arnedillo Sánchez and Pedro Isaías |
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Year:
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2023 |
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Edition:
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Single |
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Keywords:
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Artificial Intelligence, Big Data, Energy, AI on Demand, Data Governance, Energy Analytics |
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Type:
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Full Paper |
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First Page:
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95 |
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Last Page:
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102 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Recently the energy sector undergoes a rapid transformation that revolves around digitalization, decentralization and
democratization. This is because global energy crisis contributes to rising poverty, raising prices and slowing economies.
At the same time disrupting ICT technologies such as Artificial Intelligence (AI), Big Data Analytics, and Internet of
Things (IoT) pose great potential towards improving several processes followed in the energy sector such as better
forecasts for energy demand and consumption, that can contribute to significant energy savings. To this end, I-NERGY
project aims at promoting and supporting AI in the energy sector through services and applications that support the entire
energy value chain. In this publication, the I-NERGY big data reference architecture (RA) is presented, along with the
most important technologies that have been used to cover the main requirements of I-NERGY platform. Moreover,
I-NERGY is compared to other well-known big data RAs both general-purpose and energy sector specific, and the most
important conclusions are presented in brief. |
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