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Bruno Mota
Instituto de Ciências Biomédicas
Universidade Federal do Rio de Janeiro;Ministério de Ciência e Tecnologia/Conselho Nacional de Desenvolvimento Científico e Tecnológico, Instituto Nacional de Neurociência Translacional;Instituto de Ciências Biomédicas, Universidade Federal do Rio de Janeiro
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基本信息
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Bio
I see myself as a hardworking and reliable person. I am very motivated to acquire new knowledge as well as experience and grow as a result. Moreover, I regard myself as flexible and communicative, and if I can, I try to help others with their problems.
One of my strengths is to be demanding with myself. On the other hand, my biggest weakness is having to improvise, thus I have developed good planning skills.
I specialize mainly in artificial intelligence applied to power systems, smart grids, and industrial/household environments. With a greater focus on improving energy efficiency, renewable energy usage, demand response participation, and bill reductions.
Research Interests
Papers共 31 篇Author StatisticsCo-AuthorSimilar Experts
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ENERGY INFORMATICS, EI.A 2023, PT I (2024): 289-299
Yujiang Wang,Karoline Leiberg,Nathan Kindred, Christopher R. Madan,Colline Poirier, Christopher I. Petkov,Peter N. Taylor,Bruno Mota
crossref(2024)
RENEWABLE ENERGY (2024): 119812
IEEE Access (2023): 98070-98081
2023 International Conference on Future Energy Solutions (FES)pp.1-6, (2023)
IFAC PAPERSONLINEno. 2 (2023): 7972-7977
biorxiv(2023)
PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2023, PT II (2023): 182-194
2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)pp.1-6, (2023)
Intelligent Data Mining and Analysis in Power and Energy Systemspp.45-67, (2022)
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