Experimental Analysis of the Input Variables’ Relevance to Forecast Next Day’s Aggregated Electric Demand Using Neural Networks

Experimental Analysis of the Input Variables’ Relevance to Forecast Next Day’s Aggregated Electric Demand Using Neural Networks

Thanks to the built in intelligence (deployment of new intelligent devices and sensors in places where historically they were not present), the Smart Grid and Microgrid paradigms are able to take advantage from aggregated load forecasting, which opens the door for the implementation of new algorithm...

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Bibliographic Details
Main Authors: Pablo García, Antonio Sánchez-Esguevillas, Belén Carro, Lorena Calavia, Javier M. Aguiar, Carlos Baladrón, Luis Hernández, Jaime Lloret
Format: Article
Language:English
Published: MDPI AG 2013-06-01
Series:Energies
Subjects:
artificial neural network
aggregated load
smart grid
microgrid
multilayer perceptron
Online Access:http://www.mdpi.com/1996-1073/6/6/2927

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