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 Group on Smart Electrical Grids (GIREI)

Research output: Contribution to conference › Paper

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.

Translated title of the contribution	Optimización Multiobjetivo para la Gestión de la Respuesta a la Demanda Eléctrica en Usuarios Comerciales
Original language	English
Pages	14-20
Number of pages	7
DOIs	https://doi.org/10.1109/INCISCOS.2017.25
State	Published - 29 Mar 2018
Event	Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017 - Quito, Ecuador Duration: 23 Nov 2017 → 25 Nov 2017

Conference

Conference	Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017
Abbreviated title	INCISCOS 2017
Country/Territory	Ecuador
City	Quito
Period	23/11/17 → 25/11/17

Keywords

AMI
BMS
Demand Response
Electric Generation
Minimization
Renewable Energy
Smart Grid

UN SDGs

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

Access to Document

10.1109/INCISCOS.2017.25

Cite this

@conference{f4323972a80949dbb51da3196ab55ff2,

title = "Multi-objective Optimization for the Management of the Response to the Electrical Demand in Commercial Users",

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}",

year = "2018",

month = mar,

day = "29",

doi = "10.1109/INCISCOS.2017.25",

language = "English",

pages = "14--20",

note = "2017 International Conference on Information Systems and Computer Science, INCISCOS 2017 ; Conference date: 23-11-2017 Through 25-11-2017",

}

TY - CONF

T1 - Multi-objective Optimization for the Management of the Response to the Electrical Demand in Commercial Users

AU - Garcia, Edwin M.

AU - Millan, Idi Amin Isaac

PY - 2018/3/29

Y1 - 2018/3/29

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/inward/record.uri?partnerID=HzOxMe3b&scp=85050978363&origin=inward

UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85050978363&origin=inward

UR - http://www.mendeley.com/research/multiobjective-optimization-management-response-electrical-demand-commercial-users

U2 - 10.1109/INCISCOS.2017.25

DO - 10.1109/INCISCOS.2017.25

M3 - Paper

SP - 14

EP - 20

T2 - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017

Y2 - 23 November 2017 through 25 November 2017

ER -

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

Abstract

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this