Optimization of the Electrical Demand of an Existing Building with Storage Management through Machine Learning Techniques

Optimization of the Electrical Demand of an Existing Building with Storage Management through Machine Learning Techniques

Accurate prediction from electricity demand models is helpful in controlling and optimizing building energy performance. The application of machine learning techniques to adjust the electrical consumption of buildings has been a growing trend in recent years. Battery management systems through the m...

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Bibliographic Details
Main Authors: Moisés Cordeiro-Costas, Daniel Villanueva, Pablo Eguía-Oller
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
battery management system
building performance
demand response
electrical energy storage
electricity demand prediction
energy cost
Online Access:https://www.mdpi.com/2076-3417/11/17/7991

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