2019
DOI: 10.1016/j.autcon.2018.12.010
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Enhancing energy management at district and building levels via an EM-KPI ontology

Abstract: r s i o n o f a w o r k t h a t w a s a c c e p t e d f o r p u b l i c a t i o n i n A u t o m a t i o n i n Construction. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was

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Cited by 32 publications
(29 citation statements)
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“…The model combines different types of formalization (the statistical model, the criterion problem statement) and uses the ∆t principle for its operation, where ∆t is a time step equal to the magnitude of inertia of the system. This combination of approaches develops methods of predictive control used for control in heat supply systems [6,24].The presence of the criterion problem statement allows you to perform changes to the criterion function and to supplement the task with new restrictions and by that to find solutions that satisfy the specified key performance indicator (KPI) [25,26]. Consideration of temperature as a target value, which is a variable value with interrelated indicators of the problem (T #1,in and T #2,in parameters), open the potential for solving a whole class of control and planning problems in various problem domains [27,28].…”
Section: Resultsmentioning
confidence: 99%
“…The model combines different types of formalization (the statistical model, the criterion problem statement) and uses the ∆t principle for its operation, where ∆t is a time step equal to the magnitude of inertia of the system. This combination of approaches develops methods of predictive control used for control in heat supply systems [6,24].The presence of the criterion problem statement allows you to perform changes to the criterion function and to supplement the task with new restrictions and by that to find solutions that satisfy the specified key performance indicator (KPI) [25,26]. Consideration of temperature as a target value, which is a variable value with interrelated indicators of the problem (T #1,in and T #2,in parameters), open the potential for solving a whole class of control and planning problems in various problem domains [27,28].…”
Section: Resultsmentioning
confidence: 99%
“…Estructura de la ontología de SIAMES. El pre jo siames: etiqueta nuestras clases originales, el pre jo sus: etiqueta clases de [26] y el pre jo ene: etiqueta clases de [28] Tras la recopilación de informes, la siguiente fase a la que nos enfrentamos consiste en la de nición y desarrollo de una ontología que sirva de soporte para el proceso de minería de textos posterior. La ontología constituye una parte fundamental de esta investigación, por lo que este apartado es crucial para el resultado nal de nuestro trabajo.…”
Section: Descripción Del Corpus De Informes De Medición De Impactounclassified
“…Además, nos hemos basado en las que consideramos que son las ontologías existentes que más relación tienen con nuestra investigación: las descritas en [26] y [28]. Cabe destacar, por resultar de especial interés, las dimensiones que marca [26] como básicas (social, ambiental y económica), así como el concepto de stakeholder de nido en ambas.…”
Section: Descripción Del Corpus De Informes De Medición De Impactounclassified
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