Multiscale stochastic prediction of electricity demand in smart grids using Bayesian networks

Nastaran Bassamzadeh and Roger Ghanem

Applied Energy, 2017, vol. 193, issue C, 369-380

Abstract: Demand management in residential buildings is a key component toward sustainability and efficiency in urban environments. The recent advancements in sensor based technologies hold the promise of novel energy consumption models that can better characterize the underlying patterns.

Keywords: Bayesian networks; Forecasting; Machine learning; Prediction; Probabilistic modeling; Smart grid (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (24)

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DOI: 10.1016/j.apenergy.2017.01.017

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