AI Enabled Energy Consumption Predictor for Smart Buildings

Author:

Das Smrutishikta,Choudhury Tapas Kumar,Dash Sanjit Kumar,Mishra Jibitesh

Publisher

Springer Nature Singapore

Reference23 articles.

1. Wang B (2017) Building energy performance estimation approach: facade visual information-driven benchmark performance model. Doctoral dissertation, University of Southern California

2. Howard B, Parshall L, Thompson J, Hammer S, Dickinson J, Modi V (2012) Spatial distribution of urban building energy consumption by end use. Energy Build 45:141–151

3. Nielsen HA, Madsen H (2006) Modelling the heat consumption in district heating systems using a grey-box approach. Energy Build 38(1):63–71

4. Boulaire F, Higgins A, Foliente G, McNamara C (2014) Statistical modelling of district-level residential electricity use in NSW, Australia. Sustain Sci 9(1):77–88

5. Kontokosta CE (2012) Predicting building energy efficiency using New York City benchmarking data. In: Proceedings of the 2012 ACEEE summer study on energy efficiency in buildings. American Council for an Energy-Efficient Economy, Washington, DC

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