1 resultado para adaptive study
em Repositório Científico do Instituto Politécnico de Lisboa - Portugal
Filtro por publicador
- Aberdeen University (1)
- Abertay Research Collections - Abertay University’s repository (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (4)
- Aquatic Commons (2)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (2)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (2)
- Aston University Research Archive (19)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (5)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (2)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (19)
- Boston University Digital Common (3)
- Brock University, Canada (6)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Cambridge University Engineering Department Publications Database (3)
- CentAUR: Central Archive University of Reading - UK (16)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (3)
- Cochin University of Science & Technology (CUSAT), India (2)
- Coffee Science - Universidade Federal de Lavras (4)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (2)
- Deakin Research Online - Australia (23)
- Digital Commons - Michigan Tech (4)
- Digital Commons at Florida International University (7)
- Digital Peer Publishing (1)
- DigitalCommons@The Texas Medical Center (6)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (1)
- Duke University (2)
- Ecology and Society (2)
- FUNDAJ - Fundação Joaquim Nabuco (1)
- Helda - Digital Repository of University of Helsinki (1)
- Indian Institute of Science - Bangalore - Índia (18)
- Institutional Repository of Leibniz University Hannover (2)
- Instituto Gulbenkian de Ciência (1)
- Instituto Politécnico do Porto, Portugal (2)
- Instituto Superior de Psicologia Aplicada - Lisboa (2)
- National Center for Biotechnology Information - NCBI (2)
- Open University Netherlands (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (4)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (16)
- Queensland University of Technology - ePrints Archive (689)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (18)
- Repositorio Institucional Universidad de Medellín (1)
- Research Open Access Repository of the University of East London. (2)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (1)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (3)
- Universidad Politécnica de Madrid (16)
- Universidade Complutense de Madrid (3)
- Universidade Federal do Pará (1)
- Universidade Técnica de Lisboa (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (3)
- Université de Lausanne, Switzerland (1)
- Université de Montréal, Canada (2)
- University of Michigan (4)
- University of Queensland eSpace - Australia (7)
- University of Washington (4)
- WestminsterResearch - UK (2)
Resumo:
The increased integration of wind power into the electric grid, as nowadays occurs in Portugal, poses new challenges due to its intermittency and volatility. Hence, good forecasting tools play a key role in tackling these challenges. In this paper, an adaptive neuro-fuzzy inference approach is proposed for short-term wind power forecasting. Results from a real-world case study are presented. A thorough comparison is carried out, taking into account the results obtained with other approaches. Numerical results are presented and conclusions are duly drawn. (C) 2011 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.