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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Neale, A., Kummert, M., & Bernier, M. (2022). Development of a bottom-up white-box building stock energy model for single-family dwellings. Journal of Building Performance Simulation, 15(6), 735-756. Available
Neale, A., Kummert, M., & Bernier, M. (2022). Discriminant analysis classification of residential electricity smart meter data. Energy & Buildings, 258, 111823 (18 pages). Available
Neale, A. (2021). Development of a Bottom-up White-box Residential Building Stock Energy Model [Ph.D. thesis, Polytechnique Montréal]. Available
Neale, A., Kummert, M., & Bernier, M. (2020). Development of a stochastic virtual smart meter data set for a residential building stock - methodology and sample data. Journal of Building Performance Simulation, 13(5), 583-605. Available
Neale, A., Kummert, M., & Bernier, M. (2019, September). Linear discriminant analysis for classification of a large virtual smart meter data set with known building parameters [Paper]. 16th International IBPSA Conference (Building Simulation 2019), Rome, Italy. External link
Neale, A., Kummert, M., & Bernier, M. (2018, May). Generator : A stochastic virtual smart meter data generation model for residential building stock characterization [Paper]. Building Performance Simulation Conference (eSim 2018), Montréal, Québec. External link
