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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.
Moumouni, M. I., Malhamé, R. P., Agbossou, K., Henao, N., Nagarsheth, S. H., & Delcroix, B. (2024). Shrinked-Space Search Method for LVCTs' Parameters Identification. IEEE Transactions on Industrial Electronics, 3355517 (11 pages). External link
Toquica, D., Amara, F., Malhamé, R. P., Agbossou, K., Henao, N., Oviedo, J. C., & Rueda, L. (2023). Risk Analysis of Transactive Energy Retail Markets. IEEE Transactions on Industry Applications, 11 pages. External link
Toquica, D., Agbossou, K., Malhamé, R. P., Henao, N., Kélouwani, S., & Fournier, M. (2022). A Recommender System for Predictive Control of Heating Systems in Economic Demand Response Programs. IEEE Open Journal of Industry Applications, 3, 79-89. External link
Toquica, D., Agbossou, K., Henao, N., Malhamé, R. P., Kelouwani, S., & Amara, F. (2021). Prevision and planning for residential agents in a transactive energy environment. Smart energy, 2, 100019 (12 pages). Available
Toquica, D., Agbossou, K., Henao, N., Malhamé, R. P., Kélouwani, S., & Oviedo-Cepedaz, J. C. (2021, October). Market-Clearing Mechanism for Demand Aggregation at the distribution level through Transactive Energy [Paper]. IEEE Electrical Power and Energy Conference (EPEC 2021), Toronto, ON, Canada. External link
Toquica, D., Agbossou, K., Malhamé, R. P., Henao, N., Kélouwani, S., & Cardenas, A. (2020). Adaptive machine learning for automated modeling of residential prosumer agents. Energies, 13(9), 19 pages. External link
Toquica, D., Agbossou, K., Henao, N., Malhamé, R. P., & Kélouwani, S. (2020, December). Software Architecture for Residential Prosumer Agents in a Transactive Energy System [Paper]. 2020 IEEE PES Transactive Energy Systems Conference (TESC 2020), Portland, OR, USA (5 pages). External link
