Enhancing buildings' energy efficiency prediction through advanced data fusion and fuzzy classification

Author:

Grossouvre MarcORCID,Rullière Didier,Villot JonathanORCID

Funder

National Association of Technical Research

Publisher

Elsevier BV

Reference27 articles.

1. Trees vs neurons: comparison between random forest and ANN for high-resolution prediction of building energy consumption;Ahmad;Energy Build.,2017

2. Buildings' energy consumption prediction models based on buildings' characteristics: research trends, taxonomy, and performance measures;Al-Shargabi;J. Build. Eng.,2022

3. A data-driven approach to optimize urban scale energy retrofit decisions for residential buildings;Ali;Appl. Energy,2020

4. Fuzzy classification systems;Amo;Eur. J. Oper. Res.,2004

5. Use of reference buildings to assess the energy saving potentials of the residential building stock: the experience of TABULA project;Ballarini;Energy Policy,2014

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