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  • About
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    • People who are involved
    • External Advisory Board
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    • 5th SmartData@PoliTO Workshop (Internal Only)
    • Thanks for the success of the 4th SmartData@PoliTO Workshop!
    • 4th Open SmartData@PoliTO Workshop
  • Seminars
    • Issues in Spatial Databases and Geographic Information Systems (GIS)
    • Does big data mean big knowledge?
    • A new approach to machine learning via group equivariant non-expansive operators and topological data analysis
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    • PhD Course: Introduction to Random Matrices – Theory and Practice
    • Alta Scuola Politecnica: Winter School 2019
    • PhD Course: Data Science for Networks
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Home » Publications » Forecasting Heating Consumption in Buildings: A Scalable Full-Stack Distributed Engine

Forecasting Heating Consumption in Buildings: A Scalable Full-Stack Distributed Engine

Andrea Acquaviva, Daniele Apiletti, Elena Baralis, and Silvia Chiusano (2019) Forecasting Heating Consumption in Buildings: A Scalable Full-Stack Distributed Engine, In: ELECTRONICS, pp. 1-31, ISSN: 2079-9292

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