Work

Comparison Between Hierarchical Time Series Forecasting Approaches for the Electricity Consumption in the Brazilian Industrial Sector

Year: 2024

Type: article

Source: Applied Stochastic Models in Business and Industry

DOI: 10.1002/asmb.2907

Authors: Marlon Mesquita Lopes Cabreira, Felipe Leite Coelho da Silva, Josiane da Silva Cordeiro, Jeremias Macias Ureta Tolentino, Natalí Carbo‐Bustinza, Paulo Canas Rodrigues, Javier Linkolk López‐Gonzales

Institutions: Universidade Federal Rural do Rio de Janeiro, Universidad de Huánuco, Universidade Federal da Bahia, Universidad Peruana Unión

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: closed

Funders: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico

Awards: G5649275448, G735069392

OpenAlex ID: W4404772572

FWCI: 0.103

Cites: 42

Cited by: 1

Related to: 10