AI-Assisted approach for building energy and carbon footprint modeling

AI-Assisted approach for building energy and carbon footprint modeling

This paper proposes an energy and carbon footprint modelling using artificial intelligence technique to assess the impact of occupant density for various types of office building. We use EnergyPlus to simulate energy consumption, and then estimate the related CO₂ emissions based on three years (2016...

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Bibliographic Details
Main Authors: Chih-Yen Chen, Kok Keong Chai, Ethan Lau
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Energy and AI
Subjects:
Building energy simulation and benchmarking
Carbon footprint
Occupant density
Artificial intelligence
Long short-term memory (LSTM)
Smart city
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546821000458

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http://www.sciencedirect.com/science/article/pii/S2666546821000458

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