Decision Support System for Adherence to the White Tariff

Paloma Dias, Yago Marino, Luis Mendes, Sofia C. de Oliveira, Elvis Nicolau, Iuri Pereira, Vinicius Grilo, Lucas Pimentel, Igor Queiroz, Arthur Alves, Rafael F. de Sá, Glaucia C. de Oliveira, Lindolpho A. Junior, Ângelo R. de Oliveira, Gabriella Dalpra

2023

Abstract

The existence of different tariff modalities for charging the electricity sector in Brazil, if applied assertively in the user’s consumption reality, can mitigate the negative effects that energy charges have on everyday life. Thus, the proposed work deals with the development of an intelligent measurement system for the consumption of energy by the consumer’s home appliances and he will have access to his pattern of energy use throughout the day, through a web network and mobile platform. According to the tariff values available by ANEEL (National Electric Energy Agency), the user will be able to define, based on his consumption history, the adoption of the conventional tariff or the white tariff. It is important to consider that the white tariff has differentiated prices at certain times of the day, having its highest rate at peak times. These hours represent a range of hours in which the highest energy consumption occurs during the day, usually set to three hours per day and not valid on weekends and holidays. Please note that peak times vary by region. In this way, the system will act in parallel with the energy concessionaires and will take into account the interests of energy users.

Paper Citation

in Harvard Style

Dias P., Marino Y., Mendes L., C. de Oliveira S., Nicolau E., Pereira I., Grilo V., Pimentel L., Queiroz I., Alves A., F. de Sá R., C. de Oliveira G., A. Junior L., R. de Oliveira Â. and Dalpra G. (2023). Decision Support System for Adherence to the White Tariff. In Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-648-4, SciTePress, pages 698-703. DOI: 10.5220/0012039800003467

in Bibtex Style

@conference{iceis23,
author={Paloma Dias and Yago Marino and Luis Mendes and Sofia C. de Oliveira and Elvis Nicolau and Iuri Pereira and Vinicius Grilo and Lucas Pimentel and Igor Queiroz and Arthur Alves and Rafael F. de Sá and Glaucia C. de Oliveira and Lindolpho A. Junior and Ângelo R. de Oliveira and Gabriella Dalpra},
title={Decision Support System for Adherence to the White Tariff},
booktitle={Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2023},
pages={698-703},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012039800003467},
isbn={978-989-758-648-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Decision Support System for Adherence to the White Tariff
SN - 978-989-758-648-4
AU - Dias P.
AU - Marino Y.
AU - Mendes L.
AU - C. de Oliveira S.
AU - Nicolau E.
AU - Pereira I.
AU - Grilo V.
AU - Pimentel L.
AU - Queiroz I.
AU - Alves A.
AU - F. de Sá R.
AU - C. de Oliveira G.
AU - A. Junior L.
AU - R. de Oliveira Â.
AU - Dalpra G.
PY - 2023
SP - 698
EP - 703
DO - 10.5220/0012039800003467
PB - SciTePress