Exploiting Scalable Machine-Learning Distributed Frameworks to Forecast Power Consumption of Buildings

The pervasive and increasing deployment of smart meters allows collecting a huge amount of fine-grained energy data in different urban scenarios. The analysis of such data is challenging and opening up a variety of interesting and new research issues across energy and computer science research areas...

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Bibliographic Details
Main Authors: Tania Cerquitelli, Giovanni Malnati, Daniele Apiletti
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/12/15/2933