Banca de DEFESA: EDMILSON DOS SANTOS DE JESUS

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : EDMILSON DOS SANTOS DE JESUS
DATE: 31/07/2023
TIME: 14:00
LOCAL: Online
TITLE:

MACHINE LEARNING MODELS FOR WATER DEMAND FORECAST IN THE METROPOLITAN REGION OF SALVADOR, BAHIA

KEY WORDS:

TIME SERIES, MACHINE LEARNING, HYBRID MODEL, WATER DEMAND, METEOROLOGICAL DATA

PAGES: 78
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUMMARY:

The objective of this work is to proposes a new hybrid SVR-ANN model for water demand forecasting. Where an adaptation of the methodology proposed by Zhang (2003) is used to decompose the time series of 10 reservoirs that supply the Metropolitan Region of Salvador (RMS). The data used are from the historical consumption from January/2017 to February/2022, obtained from the local supply company, Empresa Baiana de Águas e Saneamento, and meteorological data obtained from the National Institute of Meteorology of Brazil. The results demonstrated the feasibility of using the proposed model, compared to other traditional models such as the Multilayer Perceptron (MLP), Support Vector Regression (SVR), Short Long Term Memory (LSTM) and Autoregressive and Integrated Moving Average (ARIMA).

COMMITTEE MEMBERS:
Presidente - 2318345 - GECYNALDA SOARES DA SILVA GOMES
Externo ao Programa - 1961783 - PAULO HENRIQUE FERREIRA DA SILVA - UFBAExterno à Instituição - ANDERSON LUIZ ARA SOUZA - UFPR