Forecasting Residential Electrical Consumption For The City Of Salta, Argentins

This work presents a model that forecasts the residential electricity demand of the City of Salta. The consumption habits of the residents of the dwellings helped the development of the proposed model, which include the turning on and off of the artifacts, aspects related to the presence or not of p...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Zanek, Franco, Franco, Judith Ada, Mac Gaul de Jorge, Marcia Ivonne
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2019
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/87850
Aporte de:
id I19-R120-10915-87850
record_format dspace
spelling I19-R120-10915-878502023-05-31T18:38:53Z http://sedici.unlp.edu.ar/handle/10915/87850 issn:2451-7585 Forecasting Residential Electrical Consumption For The City Of Salta, Argentins Zanek, Franco Franco, Judith Ada Mac Gaul de Jorge, Marcia Ivonne 2019-09 2019-12-26T12:46:37Z en Ciencias Informáticas Electricity consumption Theory of probability Statistics This work presents a model that forecasts the residential electricity demand of the City of Salta. The consumption habits of the residents of the dwellings helped the development of the proposed model, which include the turning on and off of the artifacts, aspects related to the presence or not of peo-ple in the homes, including the day-night simulation, of temperature environ-ment and relative humidity. Surveys and interviews were conducted to characte-rize the electricity consumption routines in the city's housing. The techniques proposed in the theory of probability and statistics helped the development of the functions that are integrated to form the proposed model Sociedad Argentina de Informática e Investigación Operativa Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/3.0/ Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) application/pdf 16-31
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Electricity consumption
Theory of probability
Statistics
spellingShingle Ciencias Informáticas
Electricity consumption
Theory of probability
Statistics
Zanek, Franco
Franco, Judith Ada
Mac Gaul de Jorge, Marcia Ivonne
Forecasting Residential Electrical Consumption For The City Of Salta, Argentins
topic_facet Ciencias Informáticas
Electricity consumption
Theory of probability
Statistics
description This work presents a model that forecasts the residential electricity demand of the City of Salta. The consumption habits of the residents of the dwellings helped the development of the proposed model, which include the turning on and off of the artifacts, aspects related to the presence or not of peo-ple in the homes, including the day-night simulation, of temperature environ-ment and relative humidity. Surveys and interviews were conducted to characte-rize the electricity consumption routines in the city's housing. The techniques proposed in the theory of probability and statistics helped the development of the functions that are integrated to form the proposed model
format Objeto de conferencia
Objeto de conferencia
author Zanek, Franco
Franco, Judith Ada
Mac Gaul de Jorge, Marcia Ivonne
author_facet Zanek, Franco
Franco, Judith Ada
Mac Gaul de Jorge, Marcia Ivonne
author_sort Zanek, Franco
title Forecasting Residential Electrical Consumption For The City Of Salta, Argentins
title_short Forecasting Residential Electrical Consumption For The City Of Salta, Argentins
title_full Forecasting Residential Electrical Consumption For The City Of Salta, Argentins
title_fullStr Forecasting Residential Electrical Consumption For The City Of Salta, Argentins
title_full_unstemmed Forecasting Residential Electrical Consumption For The City Of Salta, Argentins
title_sort forecasting residential electrical consumption for the city of salta, argentins
publishDate 2019
url http://sedici.unlp.edu.ar/handle/10915/87850
work_keys_str_mv AT zanekfranco forecastingresidentialelectricalconsumptionforthecityofsaltaargentins
AT francojudithada forecastingresidentialelectricalconsumptionforthecityofsaltaargentins
AT macgauldejorgemarciaivonne forecastingresidentialelectricalconsumptionforthecityofsaltaargentins
_version_ 1767633936378232832