Multiple Electric Energy Consumption Forecasting Using a Cluster-Based Strategy for Transfer Learning in Smart Building

Multiple Electric Energy Consumption Forecasting Using a Cluster-Based Strategy for Transfer Learning in Smart Building

Electric energy consumption forecasting is an interesting, challenging, and important issue in energy management and equipment efficiency improvement. Existing approaches are predictive models that have the ability to predict for a specific profile, i.e., a time series of a whole building or an indi...

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Bibliographic Details
Main Authors: Tuong Le, Minh Thanh Vo, Tung Kieu, Eenjun Hwang, Seungmin Rho, Sung Wook Baik
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sensors
Subjects:
multiple electric energy consumption forecasting
long short-term memory networks
transfer learning
the cluster-based strategy for transfer learning
intelligent energy management system
Online Access:https://www.mdpi.com/1424-8220/20/9/2668

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https://www.mdpi.com/1424-8220/20/9/2668

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