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ETDs @PUC-Rio
Estatística
Título: MEASUREMENT OF ELECTRICAL ENERGY: IMPACTS OF THE TECHNOLOGICAL CHANGED INTRODUCED IN THE LEGAL DEPARTMENT OF AN ELECTRICITY UTILITY
Autor: CAROLINA TEIXEIRA NICOLAU
Colaborador(es): REINALDO CASTRO SOUZA - Orientador
MAURICIO NOGUEIRA FROTA - Coorientador
Catalogação: 22/MAI/2014 Língua(s): PORTUGUESE - BRAZIL
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.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=22994&idi=1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=22994&idi=2
DOI: https://doi.org/10.17771/PUCRio.acad.22994
Resumo:
This Master dissertation is developed in the context of a broader program stimulated by the regulatory body of the Brazilian electrical sector under which Brazilian electricity distributors develop their energy efficiency projects. More specifically, the study aims to analyze the impacts that result from the introduction of technological innovation (replacement of electromechanical meters by electronic meters) in the legal departments of these companies with a view that measuring technology does have influence on customer billing and on its relationship with the electricity utility. The impact study refers (i) to the amount of input processes (mass litigation in the legal department of the utility) and (ii) to the additional costs generated by the introduction of this alternative technology in electricity metering. Making use of the time series methodology, forecasting univariate models, exponential smoothing, and dynamic regression models, the work includes a case study of an energy company. As a result, the work shows that the dynamic regression models are even more effective. From the generated models, it was possible to demonstrate and quantify the impact of the change in the measurement technology on the amount of input processes named invoice complaint on mass general litigation.
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