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DYNA INGENIERIA E INDUSTRIA
Article . 2018 . Peer-reviewed
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USE OF STATISTICAL CORRELATION FOR ENERGY MANAGEMENT IN OFFICE PREMISES ADOPTING TECHNIQUES OF THE INDUSTRY 4.0

Authors: Angel Paredes; Monica Hernandez Luna; Sonia Zaragoza Fernández; Pedro Fernández de Córdoba Castellá; Humberto Michinel Alvarez; Roberto Robledo Fava;

USE OF STATISTICAL CORRELATION FOR ENERGY MANAGEMENT IN OFFICE PREMISES ADOPTING TECHNIQUES OF THE INDUSTRY 4.0

Abstract

We present a statistical analysis of correlations between carbon dioxide concentration and energy consumption in workplaces, with the goal of enabling its eventual programming in energy platforms In Cloud for improving management and enhancing automation and control in the service sector industry. A low-cost system is used to measure and transmit the data of buildings and the information can be analyzed by any remote device. The study includes data measured during one year in two offices located at Sada (A Coruña, Spain) and Clayton (Panama). We present linear and nonlinear regression curves, show that there are significant positive correlations and discuss seasonal and climate-related aspects. We argue that this kind of analysis can provide useful information for the design and operation in the service industry, through web-based energy platforms for control and automation. Keywords: Industry 4.0, intelligent energy platforms, energy consumption, statistical analysis, automation of facilities, control of facilities.

Keywords

ARTICULOS, automatización de instalaciones, statistical analysis, energy consumption, Industria 4.0, Intelligent energy platforms, consumo de energía, control of facilities., control de instalaciones, intelligent energy platforms, análisis estadístico, Automation of facilities, Control of facilities., plataformas energéticas inteligentes, Industry 4.0, Energy consumption, automation of facilities, Statistical analysis, MATEMATICA APLICADA

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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3
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62
172
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