Design and development of an intelligent cloud cross-platform for the management of energy efficiency in industry through meter data analytics and automatic generation of custom reports (SMARTEEINDUS) (Q3214210): Difference between revisions
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124,843.59 Euro
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80.0 percent
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| Property / co-financing rate: 80.0 percent / rank | |||||||
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99,874.87 Euro
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| Property / EU contribution: 99,874.87 Euro / rank | |||||||
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Revision as of 09:16, 21 October 2021
Project Q3214210 in Spain
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Design and development of an intelligent cloud cross-platform for the management of energy efficiency in industry through meter data analytics and automatic generation of custom reports (SMARTEEINDUS) |
Project Q3214210 in Spain |
Statements
99,874.87 Euro
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124,843.59 Euro
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80.0 percent
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6 October 2016
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30 November 2017
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IZERTIS, SL
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43°32'42.14"N, 5°39'45.50"W
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33024
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El proyecto SMARTEEINDUS consiste en desarrollar y validar, en al menos un entorno real (TRL 7-8), una novedosa multiplataforma en la nube para la gestión y optimización de la eficiencia energética en las industrias. Esta se basa en el análisis inteligente de los datos de consumo proporcionados por los contadores, mediante el desarrollo e implementación de técnicas de inteligencia artificial (aprendizaje automático, clustering y clasificación) y en el desarrollo de un sistema automático para la generación automática de informes personalizados de consumo periódico en lenguaje natural (texto fácilmente comprensible por el gestor energético) empleando metodologías de la lógica borrosa. Estos informen contendrán medidas concretas para el ahorro energético. Los desarrollos se incluirán en una plataforma alojada en la nube para su uso como servicio SaaS o de pago por uso. (Spanish)
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The SMARTEEINDUS project consists in developing and validating , in at least one real environment (TRL 7-8), and innovative multi-platform on the cloud to manage and optimise energy efficiency in industry. It is based on a smart analysis of consumption data provided by meters, by developing and implementing artificial intelligence techniques (automatic learning, clustering and classification) and developing an automatic system of customised report generation of consumption in the period in natural language (text easily understood by the energy manager) using fuzzy logic. The reports will contain specific measures for saving energy. The developments will include a platform hosted on the cloud for use as a pay-per-use or SaaS service. (English)
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Gijón
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Identifiers
IDE/2016/000666
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