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Artificial Neural Networks for Short-Term Load Forecasting in Microgrids Environment Energy

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Artificial Neural Networks for Short-Term Load Forecasting in Microgrids Environment Energy

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Hernandez, L.; Baladron, C.; Aguiar, JM.; Carro, B.; Sanchez-Esguevillas, A.; Lloret, J. (2014). Artificial Neural Networks for Short-Term Load Forecasting in Microgrids Environment Energy. Energy. 75:252-264. doi:10.1016/j.energy.2014.07.065

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/54606

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Title: Artificial Neural Networks for Short-Term Load Forecasting in Microgrids Environment Energy
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres
Issued date:
Abstract:
The adaptation of energy production to demand has been traditionally very important for utilities in order to optimize resource consumption. This is especially true also in microgrids where many intelligent elements have ...[+]
Subjects: Artificial neural network , Short-term load forecasting , Microgrid , Pattern recognition , Self-organizing map , k-Means algorithm
Copyrigths: Reserva de todos los derechos
Source:
Energy. (issn: 0360-5442 )
DOI: 10.1016/j.energy.2014.07.065
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.energy.2014.07.065
Type: Artículo

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