The main objective of the project is development and implementation of complex system for the marketing of innovative service representing automated monitoring, evaluation and prediction of weather conditions for wind farms and process automation in the management of existing systems for electricity production, the new service includes application of technical solution method, which is a global novelty. It will be achieved through the following activities: Development and implementation of specialized software for monitoring, evaluation, forecasting weather conditions in wind farms and process automation in the management of existing systems; Acuairing of tangible and intangible assets needed for the implementation of the system, necessary for marketing of innovative service; Elaboration of market research. Implementation of the project product innovation falls entirely within the subject area of ISIS 'Mechatronics and clean technologies ", priority area" installation of renewable energy in robotic artificial intelligence systems" and "clean technologies with a focus on transport and energy. In the frame of the project will be develop an integrated system including mechanics, electronics and software part with elements of artificial intelligence in the form of self-learning system capable of dynamically adjusts global estimates of the wind potential of a particular wind farm and give accurate forecasts generated by the wind farm energy through which will provide an innovative service. The innovation is a world novelty because it will be used a new adaptive cognitive method protected by a patent № US 9,202,177 B2, recognizing the causal connection between the values of multiple parameters and the observed error of the forecast. The implemented system is fully technically feasible and the service offered by it with significant market potential.
Overview
Status | Closed (completion date) |
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Start date | 18 Jan, 2017 |
End date | 19 Sep, 2018 |
Contract date | 18 Jan, 2017 |
Programme
Beneficiary
Financial information
Total cost | 430,329.65 |
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Grant | 387,296.69 |
Self finance | 43,032.96 |
Total paid | 381,627.07 |
EU participation percent | 85.0% |
Location