Evaluation of Sequence-Learning Models for Large-Commercial-Building Load Forecasting

Evaluation of Sequence-Learning Models for Large-Commercial-Building Load Forecasting

Buildings play a critical role in the stability and resilience of modern smart grids, leading to a refocusing of large-scale energy-management strategies from the supply side to the consumer side. When buildings integrate local renewable-energy generation in the form of renewable-energy resources, t...

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Bibliographic Details
Main Authors: Cristina Nichiforov, Grigore Stamatescu, Iulia Stamatescu, Ioana Făgărăşan
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Information
Subjects:
sequence models
recurrent neural networks
energy modelling
smart buildings
Online Access:https://www.mdpi.com/2078-2489/10/6/189

Internet

https://www.mdpi.com/2078-2489/10/6/189

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