Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1390
Título: Contextual intelligent load management with ANN adaptive learning module
Autor: Gomes, Luis
Fernandes, Filipe
Sousa, Tiago
Silva, Marco
Morais, H.
Vale, Zita
Ramos, Carlos
Palavras-chave: Artificial Neural Network (ANN)
Load management
Supervisory Control and Data Acquisition (SCADA)
Data: 2011
Editora: IEEE
Resumo: With the current increase of energy resources prices and environmental concerns intelligent load management systems are gaining more and more importance. This paper concerns a SCADA House Intelligent Management (SHIM) system that includes an optimization module using deterministic and genetic algorithm approaches. SHIM undertakes contextual load management based on the characterization of each situation. SHIM considers available generation resources, load demand, supplier/market electricity price, and consumers’ constraints and preferences. The paper focus on the recently developed learning module which is based on artificial neural networks (ANN). The learning module allows the adjustment of users’ profiles along SHIM lifetime. A case study considering a system with fourteen discrete and four variable loads managed by a SHIM system during five consecutive similar weekends is presented.
URI: http://hdl.handle.net/10400.22/1390
ISBN: 978-1-4577-0809-1
Versão do Editor: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6082226
Aparece nas colecções:ISEP – GECAD – Comunicações em eventos científicos

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