Development of an innovative single system for the registration and archiving of data intended for use in energy networks by carrying out research and development work on innovative algorithms for predictive interference based on neural network theory, enabling the analysis of the data collected in the development of the system to be developed in order to improve the reliability of the system en (Q122718): Difference between revisions
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1,570,255.44 zloty
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376,861.31 Euro
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| Property / budget: 376,861.31 Euro / rank | |||||||||||||||
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| Property / budget: 376,861.31 Euro / qualifier | |||||||||||||||
exchange rate to Euro: 0.24 Euro
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| Property / budget: 376,861.31 Euro / qualifier | |||||||||||||||
point in time: 13 January 2020
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Revision as of 21:33, 22 June 2020
Project in Poland financed by DG Regio
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Development of an innovative single system for the registration and archiving of data intended for use in energy networks by carrying out research and development work on innovative algorithms for predictive interference based on neural network theory, enabling the analysis of the data collected in the development of the system to be developed in order to improve the reliability of the system en |
Project in Poland financed by DG Regio |
Statements
765,578.03 zloty
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1,570,255.44 zloty
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48.75 percent
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1 May 2018
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31 July 2020
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VOLEN SPÓŁKA AKCYJNA
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Celem projektu jest opracowanie innowacyjnego systemu rejestracji i archiwizacji danych HDC (Historical Data Concentrator) przeznaczonego do stosowania w sieciach energetycznych przeprowadzenie prac B+R poprzez opracowanie i przeprowadzenie badań nad innowacyjnymi algorytmami predykcji zakłóceń opartych na teorii sieci neuronowych, umożliwiających analizę zebranych danych w opracowywanym systemie rejestracji w celu poprawienia niezawodności systemu energetycznego i zmniejszeniu strat przez redukcję czasu wyłączeń. Kluczowym elementem składowym projektu będą algorytmy oparte na teorii sieci neuronowych, które umożliwią analizę archiwizowanych danych pod kontem predykcji zachowania się systemu energetycznego. Sieć neuronowa może zostać w taki sposób nauczona, że stanie się modelem rozpatrywanego systemu energetycznego, dzięki czemu będzie możliwe przewidzenie zachowania sieci energetycznej. Można to wykorzystać do nadzoru nad pracą systemu energetycznego, jak również do awarii systemu. (Polish)
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The aim of the project is to develop an innovative system for the recording and archiving of the data of the HDC (Historical Data Concentrator) for the use in energy networks of R & D by developing and conducting research into innovative prediction algorithms based on neural network theory, to analyse the data collected in the design of the registration system that is being developed, in order to improve the reliability of the energy system and reduce losses by the reduction of exemptions. A key component of the project will be algorithms based on neural network theory, which will allow for the analysis of archived data to be considered in a prediction of the behaviour of the energy system. The neural network can be taught in such a way that it will become a model of the energy system in question, so that it is possible to foresee the preservation of the energy network. This could be used for the supervision of the work of the energy system as well as for the system failure. (English)
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Identifiers
RPSL.01.02.00-24-061G/17
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