Building consumption anomaly detection: A comparative study of two probabilistic approaches

Author:

Stjelja DavorORCID,Kuzmanovski VladimirORCID,Kosonen RistoORCID,Jokisalo JuhaORCID

Funder

Business Finland

Publisher

Elsevier BV

Reference60 articles.

1. Directive 2018/844 of the European Parliament and of the Council of 30 May 2018 amending Directive 2010/31/EU on the energy performance of buildings and Directive 2012/27/EU on energy efficiency;Union;Off. J. Eur. Union,2018

2. International Energy Agency, Towards a zero-emission, efficient, and resilient buildings and construction sector;Environment,2017

3. A review on buildings energy consumption information;Pérez-Lombard;Energy Build.,2008

4. Artificial intelligence as an agent to transform research paradigms in building science and technology;Choi;Indoor Built Environ.,2021

5. Practical issues in implementing machine-learning models for building energy efficiency: moving beyond obstacles;Wang;Renew. Sustain. Energy Rev.,2021

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