A Hybrid Approach for Hierarchical Forecasting of Industrial Electricity Consumption in Brazil

MML Cabreira, FLC da Silva, J da Silva Cordeiro… - Energies, 2024 - ideas.repec.org
The Brazilian industrial sector is the largest electricity consumer in the power system. Energy
planning in this sector is important mainly due to its economic, social, and environmental …

A hybrid approach for hierarchical forecasting of industrial electricity consumption in Brazil

M Mesquita Lopes Cabreira, F Leite Coelho da Silva… - Energies, 2024 - mdpi.com
The Brazilian industrial sector is the largest electricity consumer in the power system. Energy
planning in this sector is important mainly due to its economic, social, and environmental …

Comparison between hierarchical time series forecasting approaches for the electricity consumption in the brazilian industrial sector

M Mesquita Lopes Cabreira… - … Stochastic Models in …, 2024 - Wiley Online Library
In Brazil, the industrial sector is the largest electricity consumer. Therefore, energy planning
becomes important for industrial development. Electricity consumption data in the Brazilian …

Forecasting long-term electricity demand in the residential sector

JFM Pessanha, N Leon - Procedia computer science, 2015 - Elsevier
This work describes a methodology for long-term electricity demand forecast in the
residential sector. The methodology has been used in the power market studies of some …

A bottom-up bayesian extension for long term electricity consumption forecasting

FLC da Silva, FLC Oliveira, RC Souza - Energy, 2019 - Elsevier
Long term electricity consumption forecasting has been extensively investigated in recent
years in different countries due to its economic and social importance. In this context, the …

A novel hybrid forecasting scheme for electricity demand time series

R Li, P Jiang, H Yang, C Li - Sustainable Cities and Society, 2020 - Elsevier
Electricity demand/load forecasting always plays a vital role in the management and
operation of power systems, since it can help develop an optimal action program for power …

Residential electricity consumption forecasting using a geometric combination approach

LAT JÚNIOR, ML DE MENEZES… - … Journal of Energy …, 2013 - World Scientific
The forecasting of electricity consumption and demand plays a pivotal role in electric power
systems planning. This paper proposes the combination of forecasts from two approaches …

A bottom-up methodology for long term electricity consumption forecasting of an industrial sector-Application to pulp and paper sector in Brazil

FLC Silva, RC Souza, FLC Oliveira, PM Lourenco… - Energy, 2018 - Elsevier
Long term annual electricity consumption forecasting is very important for country's energy
planning. These forecasts are influenced by several factors (political, technological, social …

Electricity demand forecasting based on support vector regression

HR Lee, HJ Shin - IE interfaces, 2011 - koreascience.kr
Forecasting of electricity demand have difficulty in adapting to abrupt weather changes
along with a radical shift in major regional and global climates. This has lead to increasing …

Forecasting electricity demand by neural networks and definition of inputs by multi-criteria analysis

C Deina, JLF dos Santos, LH Biuk, M Lizot, A Converti… - Energies, 2023 - mdpi.com
The planning of efficient policies based on forecasting electricity demand is essential to
guarantee the continuity of energy supply for consumers. Some techniques for forecasting …