Development Of A Method To Predict Building Energy Consumption Through An Artificial Neural Network Approach | Zendy

Ana Paula Melo | Zendy; Roberto Lamberts | Zendy; D Daniel Cóstola | Zendy; Jlm Jan Hensen | Zendy

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Development Of A Method To Predict Building Energy Consumption Through An Artificial Neural Network Approach

Author(s) -

Ana Paula Melo,

Roberto Lamberts,

D Daniel Cóstola,

Jlm Jan Hensen

Publication year - 2013

Publication title -

building simulation conference proceedings

Language(s) - English

Resource type - Conference proceedings

ISSN - 2522-2708

DOI - 10.26868/25222708.2013.2016

Subject(s) - latin hypercube sampling , artificial neural network , energy consumption , computer science , relevance (law) , hypercube , artificial intelligence , energy (signal processing) , efficient energy use , consumption (sociology) , work (physics) , sampling (signal processing) , machine learning , engineering , statistics , mathematics , telecommunications , mechanical engineering , electrical engineering , parallel computing , law , political science , monte carlo method , social science , sociology , detector

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