Predicting Individual Guarantee based on Energy Consumption

Detalhes bibliográficos
Autor(a) principal: Morgado, Maria Leonor Santiago Neves
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/152536
Resumo: Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
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spelling Predicting Individual Guarantee based on Energy ConsumptionEnergy ConsumptionTime series forecastingProphetInternship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business AnalyticsTowards having a successful business, a company must be compliant with all legal and regulatory demands, namely liabilities and obligations payment. The non-fulfilment of these rules can severely harm an entity, either in its finances and reputation or even in its business performance. Hence, EDP Comercial wants to comply with regulation and ensure that the Individual Guarantee liability is covered. Since this responsibility is secured trough a bank guarantee and changing it requires a long process with higher management's consent there is a need to determine the likely amount required ahead of time. The Individual Guarantee is based on the agent’s client’s energy consumption thus, in order to determine its future value will be we need to predict energy consumption. Several models were used to try and predict energy consumption. Prophet was the time-series forecasting model that best addressed our problem. Trough the described approach we found that the guarantee in place is enough to be compliant with the regulations for, at least, the next three months and so, no action is needed in what concerns the Individual Guarantee. In addition to answering the research question, with this project we also delivered the tools to measure and control this liability progression over time. The project was appreciated and well received by the company which already has in sight its application to other markets.Damásio, Bruno Miguel PintoRUNMorgado, Maria Leonor Santiago Neves2023-04-132024-04-13T00:00:00Z2023-04-13T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/152536TID:203273567enginfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:34:49Zoai:run.unl.pt:10362/152536Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:54:55.831444Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Predicting Individual Guarantee based on Energy Consumption
title Predicting Individual Guarantee based on Energy Consumption
spellingShingle Predicting Individual Guarantee based on Energy Consumption
Morgado, Maria Leonor Santiago Neves
Energy Consumption
Time series forecasting
Prophet
title_short Predicting Individual Guarantee based on Energy Consumption
title_full Predicting Individual Guarantee based on Energy Consumption
title_fullStr Predicting Individual Guarantee based on Energy Consumption
title_full_unstemmed Predicting Individual Guarantee based on Energy Consumption
title_sort Predicting Individual Guarantee based on Energy Consumption
author Morgado, Maria Leonor Santiago Neves
author_facet Morgado, Maria Leonor Santiago Neves
author_role author
dc.contributor.none.fl_str_mv Damásio, Bruno Miguel Pinto
RUN
dc.contributor.author.fl_str_mv Morgado, Maria Leonor Santiago Neves
dc.subject.por.fl_str_mv Energy Consumption
Time series forecasting
Prophet
topic Energy Consumption
Time series forecasting
Prophet
description Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
publishDate 2023
dc.date.none.fl_str_mv 2023-04-13
2023-04-13T00:00:00Z
2024-04-13T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/152536
TID:203273567
url http://hdl.handle.net/10362/152536
identifier_str_mv TID:203273567
dc.language.iso.fl_str_mv eng
language eng
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dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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