Título: | MODELING AND FORECASTING THE ELECTRICITY CONSUMPTION SERIES IN BRAZIL WITH PEGELS EXPONENTIAL SMOOTHING TECHNIQUES AND BOTTOM UP APPROACH PER END USE | ||||||||||||||||||||||||||||||||||||
Autor: |
PAULA MEDINA MACAIRA |
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Colaborador(es): |
REINALDO CASTRO SOUZA - Orientador FERNANDO LUIZ CYRINO OLIVEIRA - Coorientador |
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Catalogação: | 05/JAN/2016 | Língua(s): | PORTUGUESE - BRAZIL |
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Tipo: | TEXT | Subtipo: | THESIS | ||||||||||||||||||||||||||||||||||
Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=25604&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=25604&idi=2 |
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DOI: | https://doi.org/10.17771/PUCRio.acad.25604 | ||||||||||||||||||||||||||||||||||||
Resumo: | |||||||||||||||||||||||||||||||||||||
After the 2001 energy crises in Brazil, the energy sector priority has been the planning and consequently the forecast middle and long term energy consumption. The Energy Research Company (EPE for short) is in charge of publishing two official reports: The Ten Year Energy Planning and The National Energy Planning which contain, among other things, the forecast for longer lead times. In the present formulation these horizons are 2023 and 2050. This work aims to model and predict the consumption series with two approaches, top down and bottom up. The first uses Pegels exponential smoothing methods and for the second is applied the model FORECAST Residential, developed by the Fraunhofer Institute, Germany. The top-down model is responsible for modeling and predicting Brazil energy consumption aggregated and disaggregated by class of consumption, while the bottom up will be used only in the residential sector, but for each geographic region. In addition to the forecast with the best model in sample for the top down case, an optimization of the model hyper parameters is carried out in order to adjust each of the projected values with the figures provided by EPE. The results obtained show that with the top down approach it is possible to predict satisfactorily the electricity consumption up to 2050 for all energy sectors; and the bottom up approach produce forecasts very likely to occur in the future. Finally, it is possible to conclude that all the results obtained here are very promising and give directions for future improvements.
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