1 resultado para Non-smooth optimization
em Universidade Técnica de Lisboa
Filtro por publicador
- ABACUS. Repositorio de Producción Científica - Universidad Europea (1)
- Aberdeen University (3)
- Abertay Research Collections - Abertay University’s repository (2)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (12)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (10)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (2)
- Archive of European Integration (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (1)
- Aston University Research Archive (11)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (8)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (246)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (8)
- Brock University, Canada (1)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (11)
- CaltechTHESIS (2)
- CentAUR: Central Archive University of Reading - UK (14)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (1)
- Cochin University of Science & Technology (CUSAT), India (3)
- Coffee Science - Universidade Federal de Lavras (1)
- Collection Of Biostatistics Research Archive (1)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (14)
- CORA - Cork Open Research Archive - University College Cork - Ireland (3)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- CUNY Academic Works (2)
- Dalarna University College Electronic Archive (2)
- Digital Commons - Michigan Tech (4)
- Digital Commons at Florida International University (12)
- DigitalCommons - The University of Maine Research (1)
- DigitalCommons@The Texas Medical Center (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (9)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (3)
- Glasgow Theses Service (3)
- Instituto Politécnico de Bragança (3)
- Instituto Politécnico do Porto, Portugal (99)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (2)
- National Center for Biotechnology Information - NCBI (2)
- QSpace: Queen's University - Canada (1)
- Repositorio Academico Digital UANL (1)
- Repositório Científico da Universidade de Évora - Portugal (2)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (50)
- Repositório da Produção Científica e Intelectual da Unicamp (23)
- Repositório da Universidade Federal do Espírito Santo (UFES), Brazil (2)
- Repositório digital da Fundação Getúlio Vargas - FGV (4)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (2)
- Repositorio Institucional de la Universidad de Almería (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (55)
- Repositorio Institucional Universidad de Medellín (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (12)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- Scielo Saúde Pública - SP (18)
- Universidad de Alicante (8)
- Universidad Politécnica de Madrid (27)
- Universidade Complutense de Madrid (4)
- Universidade do Minho (5)
- Universidade dos Açores - Portugal (3)
- Universidade Federal do Pará (1)
- Universidade Técnica de Lisboa (1)
- Universitat de Girona, Spain (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (6)
- Université de Lausanne, Switzerland (13)
- Université de Montréal, Canada (10)
- University of Connecticut - USA (1)
- University of Queensland eSpace - Australia (215)
- University of Washington (1)
Resumo:
This paper proposes a method for scheduling tariff time periods for electricity consumers. Europe will see a broader use of modern smart meters for electricity at residential consumers which must be used for enabling demand response. A heuristic-based method for tariff time period scheduling and pricing is proposed which considers different consumer groups with parameters studied a priori, taking advantage of demand response potential for each group and the fairness of electricity pricing for all consumers. This tool was applied to the case of Portugal, considering the actual network and generation costs, specific consumption profiles and overall electricity low voltage demand diagram. The proposed method achieves valid results. Its use will provide justification for the setting of tariff time periods by energy regulators, network operators and suppliers. It is also useful to estimate the consumer and electric sector benefits from changes in tariff time periods.