Machine Learning Algorithms for Short-Term Load Forecast in Residential Buildings Using Smart Meters, Sensors and Big Data Solutions

Machine Learning Algorithms for Short-Term Load Forecast in Residential Buildings Using Smart Meters, Sensors and Big Data Solutions

In this paper, we propose a scalable Big Data framework that collects the data from smart meters and weather sensors, pre-processes and loads it into a NoSQL database that is capable to store and further process large volumes of heterogeneous data. Then, a set of Machine Learning (ML) algorithms are...

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Bibliographic Details
Main Authors: Simona-Vasilica Oprea, Adela Bara
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Load forecast
machine learning
Nesterov
clustering
big data
Online Access:https://ieeexplore.ieee.org/document/8928601/

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