1 resultado para Forecast demand
em Repositório Institucional da Universidade de Aveiro - Portugal
Filtro por publicador
- JISC Information Environment Repository (1)
- Repository Napier (2)
- Aberystwyth University Repository - Reino Unido (1)
- Academic Research Repository at Institute of Developing Economies (8)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (6)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (5)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (5)
- Aquatic Commons (19)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (2)
- Archive of European Integration (62)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (15)
- Aston University Research Archive (2)
- Biblioteca de Teses e Dissertações da USP (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (6)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (2)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (3)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (29)
- Boston University Digital Common (2)
- Brock University, Canada (1)
- Cambridge University Engineering Department Publications Database (40)
- CentAUR: Central Archive University of Reading - UK (145)
- Central European University - Research Support Scheme (1)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (10)
- Cochin University of Science & Technology (CUSAT), India (1)
- Coffee Science - Universidade Federal de Lavras (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (40)
- CORA - Cork Open Research Archive - University College Cork - Ireland (5)
- CUNY Academic Works (4)
- Dalarna University College Electronic Archive (6)
- Department of Computer Science E-Repository - King's College London, Strand, London (2)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (2)
- Digital Commons - Michigan Tech (7)
- Digital Commons @ Winthrop University (2)
- Digital Peer Publishing (5)
- DigitalCommons - The University of Maine Research (1)
- DigitalCommons@The Texas Medical Center (6)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (1)
- Duke University (5)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (6)
- FAUBA DIGITAL: Repositorio institucional científico y académico de la Facultad de Agronomia de la Universidad de Buenos Aires (2)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (3)
- Helda - Digital Repository of University of Helsinki (9)
- Indian Institute of Science - Bangalore - Índia (11)
- Instituto Politécnico de Bragança (1)
- Instituto Politécnico do Porto, Portugal (47)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Massachusetts Institute of Technology (5)
- Ministerio de Cultura, Spain (2)
- National Center for Biotechnology Information - NCBI (4)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (5)
- Publishing Network for Geoscientific & Environmental Data (3)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (45)
- Queensland University of Technology - ePrints Archive (92)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (2)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (3)
- Repositório digital da Fundação Getúlio Vargas - FGV (35)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (33)
- Research Open Access Repository of the University of East London. (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (3)
- SAPIENTIA - Universidade do Algarve - Portugal (3)
- The Scholarly Commons | School of Hotel Administration; Cornell University Research (1)
- Universidad Autónoma de Nuevo León, Mexico (1)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (10)
- Universidad Politécnica de Madrid (25)
- Universidade Complutense de Madrid (2)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Lausanne, Switzerland (3)
- Université de Montréal, Canada (15)
- University of Connecticut - USA (3)
- University of Michigan (22)
- University of Queensland eSpace - Australia (2)
- University of Southampton, United Kingdom (1)
- University of Washington (1)
- WestminsterResearch - UK (2)
- Worcester Research and Publications - Worcester Research and Publications - UK (4)
Resumo:
The fast increase in the energy’s price has brought a growing concern about the highly expensive task of transporting water. By creating an hydraulic model of the Water Supply System’s (WSS) network and predicting its behaviour, it is possible to take advantage of the energy’s tariffs, reducing the total cost on pumping activities. This thesis was developed, in association with a technology transfer project called the E-Pumping. It focuses on finding a flexible supervision and control strategy, adaptable to any existent Water Supply System (WSS), as well as forecasting the water demand on a time period chosen by the end user, so that the pumping actions could be planned to an optimum schedule, that minimizes the total operational cost. The OPC protocol, associated to a MySQL database were used to develop a flexible tool of supervision and control, due to their adaptability to function with equipments from various manufacturers, being another integrated modular part of the E-Pumping project. Furthermore, in this thesis, through the study and performance tests of several statistical models based on time series, specifically applied to this problem, a forecasting tool adaptable to any station, and whose model parameters are automatically refreshed at runtime, was developed and added to the project as another module. Both the aforementioned modules were later integrated with an Graphical User Interface (GUI) and installed in a pilot application at the ADDP’s network. The implementation of this software on WSSs across the country will reduce the water supply companies’ running costs, improving their market competition and, ultimately, lowering the water price to the end costumer.