ES2680769A1 - Procedimiento para predecir el consumo energético de climatización ambiental en edificios - Google Patents

Procedimiento para predecir el consumo energético de climatización ambiental en edificios Download PDF

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Publication number
ES2680769A1
ES2680769A1 ES201731099A ES201731099A ES2680769A1 ES 2680769 A1 ES2680769 A1 ES 2680769A1 ES 201731099 A ES201731099 A ES 201731099A ES 201731099 A ES201731099 A ES 201731099A ES 2680769 A1 ES2680769 A1 ES 2680769A1
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Prior art keywords
air conditioning
energy consumption
environmental air
procedure
predict
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Withdrawn
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ES201731099A
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English (en)
Inventor
Antonio Fernando SKARMETA GÓMEZ
Miguel Angel Zamora Izquierdo
María Victoria MORENO CANO
Aurora GONZÁLEZ VIDAL
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Universidad de Murcia
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Universidad de Murcia
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Health & Medical Sciences (AREA)
  • Economics (AREA)
  • General Physics & Mathematics (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Human Resources & Organizations (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Public Health (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Air Conditioning Control Device (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

Procedimiento para predecir el consumo energético de climatización ambiental en edificios. El procedimiento propuesto consiste en llevar a cabo una serie de pasos consecutivos en los que se aplican diferentes técnicas matemáticas de inteligencia artificial para transformar los datos disponibles sobre: (i) la predicción meteorológica en su zona geográfica; (ii) el consumo energético del sistema de climatización; y, (iii) el nivel de ocupación en el edificio, en información útil para representar la evolución horaria del consumo energético del sistema de climatización ambiental del edificio. Con el procedimiento de la invención es posible seleccionar de forma automática las características que compondrán el conjunto óptimo de entradas del modelo predictivo, así como la técnica de regresión que estime con mayor precisión la evolución horaria del consumo energético asociado al sistema de climatización ambiental del edificio.

Description

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Claims (1)

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ES201731099A 2017-03-07 2017-09-08 Procedimiento para predecir el consumo energético de climatización ambiental en edificios Withdrawn ES2680769A1 (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
ES201700228 2017-03-07
ESP201700228 2017-03-07

Publications (1)

Publication Number Publication Date
ES2680769A1 true ES2680769A1 (es) 2018-09-10

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ES201731099A Withdrawn ES2680769A1 (es) 2017-03-07 2017-09-08 Procedimiento para predecir el consumo energético de climatización ambiental en edificios

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ES (1) ES2680769A1 (es)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115048822A (zh) * 2022-08-15 2022-09-13 天津市气象科学研究所 一种空调制冷能耗的评估方法及其系统

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120240072A1 (en) * 2011-03-18 2012-09-20 Serious Materials, Inc. Intensity transform systems and methods
WO2014075108A2 (en) * 2012-11-09 2014-05-15 The Trustees Of Columbia University In The City Of New York Forecasting system using machine learning and ensemble methods
US20160018835A1 (en) * 2014-07-18 2016-01-21 Retroficiency, Inc. System and method for virtual energy assessment of facilities

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120240072A1 (en) * 2011-03-18 2012-09-20 Serious Materials, Inc. Intensity transform systems and methods
WO2014075108A2 (en) * 2012-11-09 2014-05-15 The Trustees Of Columbia University In The City Of New York Forecasting system using machine learning and ensemble methods
US20160018835A1 (en) * 2014-07-18 2016-01-21 Retroficiency, Inc. System and method for virtual energy assessment of facilities

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
GONZÁLEZ-VIDAL, A., MORENO-CANO, V., TERROSO-SÁENZ, A., SKARMETA, A. F. Towards Energy Efficiency Smart Buildings Models Based on Intelligent Data Analytics. Procedia Computer Sciences, 12/05/2016, Vol. 83, Páginas 994-999 Recuperado de Internet (URL:https://www.sciencedirect.com/science/article/pii/S1877050916302460), (DOI: https://doi.org/10.1016/j.procs.2016.04.213) Abstract, Secciones 2-4, Fig. 1 *
HEDÉN, WILLIAM. Predicting Hourly Residential Energy Consumption using Random Forest and Support Vector Regression¿: An Analysis of the Impact of Household Clustering on the Performance Accuracy. KTH School of Engineering Sciences, 2016, *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115048822A (zh) * 2022-08-15 2022-09-13 天津市气象科学研究所 一种空调制冷能耗的评估方法及其系统
CN115048822B (zh) * 2022-08-15 2022-10-28 天津市气象科学研究所 一种空调制冷能耗的评估方法及其系统

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