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Improvement of a Forecasting Algorithm
dc.contributor | Rodero de Lamo, Lourdes |
dc.contributor.author | Oliveras Figueres, Gerard |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa |
dc.date.accessioned | 2020-05-29T05:45:43Z |
dc.date.issued | 2020-05-15 |
dc.identifier.uri | http://hdl.handle.net/2117/189413 |
dc.description.abstract | In order to improve Accenture’s TSSCV algorithm this project introduces basic forecasting theory and forecasting heuristics. Additionally, it explains the TSSCV algorithm in detail. Furthermore, it proposes several algorithm modifications, testing them for code performance and forecasting accuracy performance optimization. The results conclude that the Accenture’s TSSCV algorithm design is optimally tuned. Major revamps, new heuristics and methods are proposed to achieve higher accuracy performances. |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística |
dc.subject.lcsh | Heuristic programming |
dc.title | Improvement of a Forecasting Algorithm |
dc.type | Bachelor thesis |
dc.subject.lemac | Programació heurística |
dc.identifier.slug | ETSEIB-240.150736 |
dc.rights.access | Restricted access - author's decision |
dc.date.lift | 10000-01-01 |
dc.date.updated | 2020-05-15T04:59:23Z |
dc.audience.educationlevel | Grau |
dc.audience.mediator | Escola Tècnica Superior d'Enginyeria Industrial de Barcelona |
dc.audience.degree | GRAU EN ENGINYERIA EN TECNOLOGIES INDUSTRIALS (Pla 2010) |