Deep Neural Network Based Demand Side Short Term Load Forecasting

Deep Neural Network Based Demand Side Short Term Load Forecasting

In the smart grid, one of the most important research areas is load forecasting; it spans from traditional time series analyses to recent machine learning approaches and mostly focuses on forecasting aggregated electricity consumption. However, the importance of demand side energy management, includ...

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Bibliographic Details
Main Authors: Seunghyoung Ryu, Jaekoo Noh, Hongseok Kim
Format: Article
Language:English
Published: MDPI AG 2016-12-01
Series:Energies
Subjects:
short-term load forecasting
deep neural network
deep learning
rectified linear unit (ReLU)
exponential smoothing
smart grid
restricted Boltzmann machine (RBM)
pre-training
Online Access:http://www.mdpi.com/1996-1073/10/1/3

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http://www.mdpi.com/1996-1073/10/1/3

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