Forecasting Brazil's electricity consumption with Pegels Exponential Smoothing Techniques-Reference-Cited by-同舟云学术

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Forecasting Brazil's electricity consumption with Pegels Exponential Smoothing Techniques

Published:2016-03 Issue:3 Volume:14 Page:1252-1258
ISSN:1548-0992
Container-title:IEEE Latin America Transactions
language:
Short-container-title:IEEE Latin Am. Trans.

Author:

Medina Macaira Paula,Castro Sousa Reinaldo,Cyrino Oliveira Fernando Luiz

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/9907/7459579/07459606.pdf?arnumber=7459606

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Short-term power load forecasting method based on Bagging-stochastic configuration networks;PLOS ONE;2024-03-19

2. A study on the prediction of electricity consumption considering the energy efficiency measures—applied in case of the Brazilian public sector;Energy Efficiency;2023-11-13

3. Comparing the Simple to Complex Automatic Methods with the Ensemble Approach in Forecasting Electrical Time Series Data;Energies;2023-11-08

4. An overview of non-Gaussian state-space models for wind speed data;Energy;2023-03

5. Long-Term Electricity Consumption Forecasting for Future Power Systems Combining System Dynamics and ImPACT Equation;IEEE Transactions on Industry Applications;2022-09

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