Multi-objective Optimization for the Management of the Response to the Electrical Demand in Commercial Users

Edwin M. Garcia; Idi Amin Isaac Millan

doi:10.1109/INCISCOS.2017.25

Multi-objective Optimization for the Management of the Response to the Electrical Demand in Commercial Users

Edwin M. Garcia
, Idi Amin Isaac Millan

Research output: Chapter in Book/Conference proceeding › Conference and proceedings › peer-review

6 Scopus citations

Abstract

This document mentions alternatives so that the commercial user can have an energetic saving inside their facilities and minimizes the electrical consumption in a determined time, the answer to the electrical demand allows the user to make decisions of the consumption in the schedules of greater demand that are considered peak hours, aiming to carry out a direct control of their loads in these schedules that allow them to have economic and ecological benefits by reducing the use of obsolete equipment within their facilities and in addition to reducing the emission of CO2 to the environment that is Gives at the time of the start of the thermal power plants that are central of backup in the schedules of maximum electrical consumption at national level.

Original language	English
Title of host publication	Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	14-20
Number of pages	7
ISBN (Electronic)	9781538626443
DOIs	https://doi.org/10.1109/INCISCOS.2017.25
State	Published - 2 Jul 2017
Event	2nd International Conference on Information Systems and Computer Science, INCISCOS 2017 - Quito, Ecuador Duration: 23 Nov 2017 → 25 Nov 2017

Publication series

Name	Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017
Volume	2017-November

Conference

Conference	2nd International Conference on Information Systems and Computer Science, INCISCOS 2017
Country/Territory	Ecuador
City	Quito
Period	23/11/17 → 25/11/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

AMI
BMS
Demand Response
Electric Generation
Minimization
Renewable Energy
Smart Grid

Access to Document

10.1109/INCISCOS.2017.25

Cite this

Garcia, E. M., & Millan, I. A. I. (2017). Multi-objective Optimization for the Management of the Response to the Electrical Demand in Commercial Users. In Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017 (pp. 14-20). (Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017; Vol. 2017-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INCISCOS.2017.25

Garcia, Edwin M. ; Millan, Idi Amin Isaac. / Multi-objective Optimization for the Management of the Response to the Electrical Demand in Commercial Users. Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 14-20 (Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017).

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abstract = "This document mentions alternatives so that the commercial user can have an energetic saving inside their facilities and minimizes the electrical consumption in a determined time, the answer to the electrical demand allows the user to make decisions of the consumption in the schedules of greater demand that are considered peak hours, aiming to carry out a direct control of their loads in these schedules that allow them to have economic and ecological benefits by reducing the use of obsolete equipment within their facilities and in addition to reducing the emission of CO2 to the environment that is Gives at the time of the start of the thermal power plants that are central of backup in the schedules of maximum electrical consumption at national level.",

keywords = "AMI, BMS, Demand Response, Electric Generation, Minimization, Renewable Energy, Smart Grid",

author = "Garcia, \{Edwin M.\} and Millan, \{Idi Amin Isaac\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2nd International Conference on Information Systems and Computer Science, INCISCOS 2017 ; Conference date: 23-11-2017 Through 25-11-2017",

year = "2017",

month = jul,

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doi = "10.1109/INCISCOS.2017.25",

language = "Ingl{\'e}s",

series = "Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017",

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Garcia, EM & Millan, IAI 2017, Multi-objective Optimization for the Management of the Response to the Electrical Demand in Commercial Users. in Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017. Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017, vol. 2017-November, Institute of Electrical and Electronics Engineers Inc., pp. 14-20, 2nd International Conference on Information Systems and Computer Science, INCISCOS 2017, Quito, Ecuador, 23/11/17. https://doi.org/10.1109/INCISCOS.2017.25

Multi-objective Optimization for the Management of the Response to the Electrical Demand in Commercial Users. / Garcia, Edwin M.; Millan, Idi Amin Isaac.
Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 14-20 (Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017; Vol. 2017-November).

Research output: Chapter in Book/Conference proceeding › Conference and proceedings › peer-review

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N2 - This document mentions alternatives so that the commercial user can have an energetic saving inside their facilities and minimizes the electrical consumption in a determined time, the answer to the electrical demand allows the user to make decisions of the consumption in the schedules of greater demand that are considered peak hours, aiming to carry out a direct control of their loads in these schedules that allow them to have economic and ecological benefits by reducing the use of obsolete equipment within their facilities and in addition to reducing the emission of CO2 to the environment that is Gives at the time of the start of the thermal power plants that are central of backup in the schedules of maximum electrical consumption at national level.

AB - This document mentions alternatives so that the commercial user can have an energetic saving inside their facilities and minimizes the electrical consumption in a determined time, the answer to the electrical demand allows the user to make decisions of the consumption in the schedules of greater demand that are considered peak hours, aiming to carry out a direct control of their loads in these schedules that allow them to have economic and ecological benefits by reducing the use of obsolete equipment within their facilities and in addition to reducing the emission of CO2 to the environment that is Gives at the time of the start of the thermal power plants that are central of backup in the schedules of maximum electrical consumption at national level.

KW - AMI

KW - BMS

KW - Demand Response

KW - Electric Generation

KW - Minimization

KW - Renewable Energy

KW - Smart Grid

UR - https://www.scopus.com/pages/publications/85050978363

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DO - 10.1109/INCISCOS.2017.25

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Garcia EM, Millan IAI. Multi-objective Optimization for the Management of the Response to the Electrical Demand in Commercial Users. In Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 14-20. (Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017). doi: 10.1109/INCISCOS.2017.25

Multi-objective Optimization for the Management of the Response to the Electrical Demand in Commercial Users

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

Fingerprint

Cite this