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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.
Fakhr, B. V., Yeganeh, M., Walzberg, J., & Ghayehbashi, A. R. (2024). Exploring attitudes and behavioral patterns in residential energy consumption: Data-driven by a machine learning approach. Energy and Climate Change, 5, 100158 (16 pages). External link
Walzberg, J., Frayret, J.-M., Eberle, A. L. L., Carpenter, A., & Heath, G. (2023). Agent-based modeling and simulation for the circular economy: Lessons learned and path forward. Journal of Industrial Ecology, 27(5), 1227-1238. External link
Walzberg, J., Dandres, T., Merveille, N., Cheriet, M., & Samson, R. (2020). Should we fear the rebound effect in smart homes? Renewable & Sustainable Energy Reviews, 125, 109798 (12 pages). External link
Walzberg, J. (2019). Simulation multi-agents de la phase d'utilisation lors de l'analyse du cycle de vie de systèmes sociotechniques : cas des domiciles intelligents [Ph.D. thesis, Polytechnique Montréal]. Available
Walzberg, J., Dandres, T., Merveille, N., Cheriet, M., & Samson, R. (2019). Accounting for fluctuating demand in the life cycle assessments of residential electricity consumption and demand-side management strategies. Journal of Cleaner Production, 240, 13 pages. External link
Walzberg, J., Dandres, T., Merveille, N., Cheriet, M., & Samson, R. (2019). Assessing behavioural change with agent-based life cycle assessment: Application to smart homes. Renewable and Sustainable Energy Reviews, 111, 365-376. External link
Walzberg, J., Dandres, T., Merveille, N., Cheriet, M., & Samson, R. (2019, June). Environmental Assessment of Fluctuating Residential Electricity Demand [Paper]. IEEE Sustainability through ICT Summit (StICT 2019), Montréal, Qc, Canada. External link
Walzberg, J., Dandres, T., Samson, R., Merveille, N., & Cheriet, M. (2017, October). An agent-based model to evaluate smart homes sustainability potential [Paper]. 28th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC 2017), Montréal, Québec (7 pages). External link
Walzberg, J., Dandres, T., Cheriet, M., & Samson, R. (2015, October). How to Address Behavioral Issues in the Environmental Assessment of Complex Systems: Case of a Smart Building [Paper]. 1st International Conference on Social Innovation and Community Aspects of Smart Cities (SmartCityCom), Bratislava, SLOVAKIA. Unavailable
