Project description
Big Energy Data Platform and AI Analytics Marketplace for new viable solutions
There are many different systems and connected energy networks today. Also, many factors play a role in effective power systems optimisation. Information and new technologies offer the key competencies for sustainable, intelligent energy supply. The integration of data and synergy add crucial value to all related activities and offer new viable solutions. The EU-funded SYNERGY project will develop a Big Energy Data Platform and AI Analytics Marketplace. It will offer a novel reference Big Data space where the information from various energy-related sources such as IoT statistics, sensors and energy markets. It will also forge and enrich the AI. The new highly effective system will be demonstrated in five European countries.
Objective
The transition to the smart grid era is associated with the creation of a meshed network of data contributors that necessitates for the transformation of the traditional top-down business model, where power system optimization relied on centralized decisions based on data silos preserved by stakeholders, to a more horizontal one in which optimization decisions are based on interconnected data assets and collective intelligence. Consequently, the need for “end-to-end” coordination between the electricity stakeholders, not only in business terms but also in exchanging information is becoming a necessity to enable the enhancement of electricity networks’ stability and resilience, while satisfying individual business process optimization targets of all stakeholders involved in the value chain. SYNERGY introduces a novel reference big data architecture and platform that leverages data, primary or secondarily related to the electricity domain, coming from diverse sources (APIs, historical data, statistics, sensors/ IoT, weather, energy markets and various other open data sources) to help electricity stakeholders to simultaneously enhance their data reach, improve their internal intelligence on electricity-related optimization functions, while getting involved in novel data (intelligence) sharing/trading models, in order to shift individual decision-making at a collective intelligence level.
To this end SYNERGY will develop a highly effective a Big Energy Data Platform and AI Analytics Marketplace, accompanied by big data-enabled applications for the totality of electricity value chain stakeholders (altogether integrated in the SYNERGY Big Data-driven EaaS Framework). SYNERGY will be validated in 5 large-scale demonstrators, in Greece, Spain, Austria, Finland and Croatia involving diverse actors and data sources, heterogeneous energy assets, varied voltage levels and network conditions and spanning different climatic, demographic and cultural characteristics.
Fields of science
- natural sciencescomputer and information sciencesinternetinternet of things
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectrical engineeringpower engineeringelectric power distribution
- natural sciencescomputer and information sciencesdata sciencebig data
- social scienceseconomics and businessbusiness and managementbusiness models
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
Keywords
Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
46014 Valencia
Spain
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Participants (28)
117 43 ATHINA
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106 82 ATHINA
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00130 Helsinki
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02150 Espoo
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18194 Churriana De La Vega
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28016 Madrid
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3013 Limassol
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
50004 Zaragoza
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50018 Zaragoza
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11632 Athina
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
01650 Vantaa
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10443 Athens
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115 23 Athens
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51500 Krk
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
51500 Krk
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
47822 Santarcangelo Di Romagna
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2804-537 Almada
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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10000 Zagreb
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1678 Nicosia
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145 61 KIFISSIA ATHINA
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Participation ended
7540 Gussing
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7540 Gussing
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4174 Jystrup Midtsj
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
8051 Graz
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7540 Gussing
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10000 Zagreb
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1783 Halden
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151 24 MAROUSSI ATHINA
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