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Energy Optimization and Prediction in Office Buildings

A Case Study of Office Building Design in Chile

Produktform: E-Buch Text Elektronisches Buch in proprietärem

An optimization process based on Artificial Neural Networks is discussed in detail, which predicts heating and cooling energy demands, energy consumption and CO2 emissions. Taken together, these processes will show readers how to reduce energy demand, consumption and CO2 emissions associated with office buildings in the future. Readers will gain an advanced understanding of energy use in buildings and how it can be reduced. weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-3-319-90146-6 / 978-3319901466 / 9783319901466

Verlag: Springer International Publishing

Erscheinungsdatum: 20.04.2018

Seiten: 78

Autor(en): Carlos Rubio-Bellido, Alexis Pérez-Fargallo, Jesús Pulido-Arcas

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