Lert — smart metering system and non-invasive analysis of electricity and gas consumption in households (Q78236): Difference between revisions
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(Removed claim: summary (P836): Reference_reference_programme_aids:SA.41471 (2015/X) _public:Article 25 of Commission Regulation (EC) No 651/2014 of 17 June 2014 declaring certain categories of aid compatible with the internal market in the application of Article 107 and 108 of the Treaty (OJ(OJ LEU L 187/1, 26.06.2014).The project aims to develop a prototype LERTA system for estimating the electricity and gas consumption of individual appliances in households and businesses...) |
(Created claim: summary (P836): Reference number of the aid programme: SA.41471(2015/X) Purpose of public aid: Article 25 of EC Regulation No 651/2014 of 17 June 2014 declaring certain types of aid compatible with the internal market in the application of Articles 107 and 108 of the Treaty (OJ L. I'm sorry. EU L 187/1 of 26.06.2014). The subject of the project is to develop a prototype LERTA system for estimating electricity and gas consumption by individual appliances located...) |
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Reference number of the aid programme: SA.41471(2015/X) Purpose of public aid: Article 25 of EC Regulation No 651/2014 of 17 June 2014 declaring certain types of aid compatible with the internal market in the application of Articles 107 and 108 of the Treaty (OJ L. I'm sorry. EU L 187/1 of 26.06.2014). The subject of the project is to develop a prototype LERTA system for estimating electricity and gas consumption by individual appliances located in households and enterprises, as well as its pilot installation. Metering method based on a single measurement point. Non-intrusive Load Monitoring (non-intrusive Load Monitoring) has been a matter of interest in scientific units and the energy industry for decades, but the current methods have included the installation of expensive measuring devices that monitor and analyse many parameters with high frequency. The aim of the project is to develop techniques, including machine learning algorithms, which will allow you to gain knowledge about energy consumption by individual devices, based on the smallest amount of data read from existing meters using simple and cheap telemetry. A significant reduction in the amount of data transmitted to the central database will make it possible to: omitting local data hubs (e.g. bluetooth) through narrowband data transmission techniques, (b) prolonging the operation of the measuring device without the need for battery replacement, (c) a significant reduction in the cost of the measuring device, continuing to ensure that the equipment is correctly requested for energy consumption at the premises. Consumer knowledge of energy consumption will allow retailers to propose better, individual conditions and tariffs, and data on working appliances in thousands of households will help better manage energy demand, predict consumption and avoid failures or start up expensive and non-organic conventional generators. (English) | |||||||||||||||
Property / summary: Reference number of the aid programme: SA.41471(2015/X) Purpose of public aid: Article 25 of EC Regulation No 651/2014 of 17 June 2014 declaring certain types of aid compatible with the internal market in the application of Articles 107 and 108 of the Treaty (OJ L. I'm sorry. EU L 187/1 of 26.06.2014). The subject of the project is to develop a prototype LERTA system for estimating electricity and gas consumption by individual appliances located in households and enterprises, as well as its pilot installation. Metering method based on a single measurement point. Non-intrusive Load Monitoring (non-intrusive Load Monitoring) has been a matter of interest in scientific units and the energy industry for decades, but the current methods have included the installation of expensive measuring devices that monitor and analyse many parameters with high frequency. The aim of the project is to develop techniques, including machine learning algorithms, which will allow you to gain knowledge about energy consumption by individual devices, based on the smallest amount of data read from existing meters using simple and cheap telemetry. A significant reduction in the amount of data transmitted to the central database will make it possible to: omitting local data hubs (e.g. bluetooth) through narrowband data transmission techniques, (b) prolonging the operation of the measuring device without the need for battery replacement, (c) a significant reduction in the cost of the measuring device, continuing to ensure that the equipment is correctly requested for energy consumption at the premises. Consumer knowledge of energy consumption will allow retailers to propose better, individual conditions and tariffs, and data on working appliances in thousands of households will help better manage energy demand, predict consumption and avoid failures or start up expensive and non-organic conventional generators. (English) / rank | |||||||||||||||
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Property / summary: Reference number of the aid programme: SA.41471(2015/X) Purpose of public aid: Article 25 of EC Regulation No 651/2014 of 17 June 2014 declaring certain types of aid compatible with the internal market in the application of Articles 107 and 108 of the Treaty (OJ L. I'm sorry. EU L 187/1 of 26.06.2014). The subject of the project is to develop a prototype LERTA system for estimating electricity and gas consumption by individual appliances located in households and enterprises, as well as its pilot installation. Metering method based on a single measurement point. Non-intrusive Load Monitoring (non-intrusive Load Monitoring) has been a matter of interest in scientific units and the energy industry for decades, but the current methods have included the installation of expensive measuring devices that monitor and analyse many parameters with high frequency. The aim of the project is to develop techniques, including machine learning algorithms, which will allow you to gain knowledge about energy consumption by individual devices, based on the smallest amount of data read from existing meters using simple and cheap telemetry. A significant reduction in the amount of data transmitted to the central database will make it possible to: omitting local data hubs (e.g. bluetooth) through narrowband data transmission techniques, (b) prolonging the operation of the measuring device without the need for battery replacement, (c) a significant reduction in the cost of the measuring device, continuing to ensure that the equipment is correctly requested for energy consumption at the premises. Consumer knowledge of energy consumption will allow retailers to propose better, individual conditions and tariffs, and data on working appliances in thousands of households will help better manage energy demand, predict consumption and avoid failures or start up expensive and non-organic conventional generators. (English) / qualifier | |||||||||||||||
point in time: 14 October 2020
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Revision as of 11:39, 14 October 2020
Project in Poland financed by DG Regio
Language | Label | Description | Also known as |
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English | Lert — smart metering system and non-invasive analysis of electricity and gas consumption in households |
Project in Poland financed by DG Regio |
Statements
1,071,196.78 zloty
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1,447,498.85 zloty
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74.0 percent
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1 September 2017
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31 October 2018
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LERTA SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
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Numer_referencyjny_programu_pomocowego: SA.41471(2015/X) Przeznaczenie_pomocy_publicznej: art. 25 rozporządzenia KE nr 651/2014 z dnia 17 czerwca 2014 r. uznające niektóre rodzaje pomocy za zgodne z rynkiem wewnętrznym w stosowaniu art. 107 i 108 Traktatu (Dz. Urz. UE L 187/1 z 26.06.2014). Przedmiotem projektu jest opracowanie prototypu systemu LERTA do szacowania poboru energii elektrycznej oraz gazu przez poszczególne urządzenia znajdujące się w gospodarstwach domowych i przedsiębiorstwach, a także jego pilotażowa instalacja. Sposób opomiarowania bazujący na pojedynczym punkcie pomiarowym (ang. Non-Intrusive Load Monitoring) jest przedmiotem zainteresowania jednostek naukowych oraz branży energetycznej od kilkudziesięciu lat, jednak dotychczasowe metody zakładały instalację drogich urządzeń pomiarowych monitorujących i analizujących wiele parametrów z wysoką częstotliwością. Celem projektu jest opracowanie technik, w tym algorytmów uczenia maszynowego, które pozwolą na pozyskanie wiedzy o poborze energii przez poszczególne urządzenia, bazując na jak najmniejszej ilości danych odczytanych z istniejących liczników z wykorzystaniem prostej i taniej telemetrii. Istotne zmniejszenie ilości danych przesyłanych do centralnej bazy danych umożliwi: a) pominięcie lokalnych koncentratorów danych (np. bluetooth) dzięki zastosowaniu wąskopasmowych technik transmisji danych, b) wydłużenie pracy urządzenia pomiarowego bez konieczności wymiany baterii, c) istotne obniżenie kosztu urządzenia pomiarowego, nadal zapewniając prawidłowe wnioskowanie o poborze energii przez urządzenia w danym lokalu. Wiedza o zużyciu przez klientów energii pozwoli sprzedawcom zaproponować lepsze, indywidualne warunki i taryfy, a dane na temat pracujących urządzeń w tysiącach gospodarstw domowych pomogą lepiej zarządzać popytem na energię, przewidywać zużycie i unikać awarii czy uruchamiania drogich i nieekologicznych generatorów konwencjonalnych. (Polish)
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Reference number of the aid programme: SA.41471(2015/X) Purpose of public aid: Article 25 of EC Regulation No 651/2014 of 17 June 2014 declaring certain types of aid compatible with the internal market in the application of Articles 107 and 108 of the Treaty (OJ L. I'm sorry. EU L 187/1 of 26.06.2014). The subject of the project is to develop a prototype LERTA system for estimating electricity and gas consumption by individual appliances located in households and enterprises, as well as its pilot installation. Metering method based on a single measurement point. Non-intrusive Load Monitoring (non-intrusive Load Monitoring) has been a matter of interest in scientific units and the energy industry for decades, but the current methods have included the installation of expensive measuring devices that monitor and analyse many parameters with high frequency. The aim of the project is to develop techniques, including machine learning algorithms, which will allow you to gain knowledge about energy consumption by individual devices, based on the smallest amount of data read from existing meters using simple and cheap telemetry. A significant reduction in the amount of data transmitted to the central database will make it possible to: omitting local data hubs (e.g. bluetooth) through narrowband data transmission techniques, (b) prolonging the operation of the measuring device without the need for battery replacement, (c) a significant reduction in the cost of the measuring device, continuing to ensure that the equipment is correctly requested for energy consumption at the premises. Consumer knowledge of energy consumption will allow retailers to propose better, individual conditions and tariffs, and data on working appliances in thousands of households will help better manage energy demand, predict consumption and avoid failures or start up expensive and non-organic conventional generators. (English)
14 October 2020
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Identifiers
POIR.01.01.01-00-0700/17
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