Developing product innovation by Devision"OOD

The project aims at enhancing the innovation capacity of Devision OOD to develop a new service innovation - a world-class DENFOR Energy Estimation System Predication Program in the ISSS ICT and Informatics Theme and achieves the 6th Level of Technological TRL-scale readiness.DENFOR falls into the direction of Big Data, Grid and Cloud Technologies and is designed to predict energy consumption. It consists of hardware and cloud server infrastructure with innovative software development and algorithm. DENFOR has a unique feature to predict resource consumption through self-learning from accumulated knowledge base and new data not owned by alternative sources. This fact is officially confirmed by a study by the Patent Office, where DENFOR has been identified as a world-class novelty. To achieve the main objective, there are activities under Element A: study of methodologies and models for data behavior forecasting, potential methods of artificial intelligence development, prototype design and pilot line for validation of the broad-based technology corresponding to the category Industrial Research is also planned. Performance results are: - Higher innovation capacity of Devision OOD through acquired new knowledge and skills to develop an innovative product and transition through different degrees of technological readiness of the developed product - Developed world-class product innovation - "System for forecasting the consumption of resources in Energy "-DENFOR with technological readiness level six on the TRL-scale and meeting the definition of eco-innovation Adequate future forecast for the consumption of energy resources will realize benefits among consumers, manufacturers and suppliers of energy resources, the negative environmental impact will be reduced by optimizing energy resources.

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Overview

Status Closed (completion date)
Start date 20 Jul, 2018
End date 13 Nov, 2020
Contract date 20 Jul, 2018
View in UMIS

Beneficiary

Financial information

Total cost 699,257.12
Grant 489,480.00
Self finance 209,777.12
Total paid 486,069.34
EU participation percent 85.0%

Location