Marc Rioux is affiliated with the National Academies of Sciences, Engineering, and Medicine in the United States. Their research primarily focuses on engineering and energy, with a particular emphasis on electrical and electronic engineering as well as renewable energy, sustainability, and the environment.
The main topics addressed in their work include:
Rioux has contributed to research published in venues such as arXiv (Cornell University), where they have authored studies relevant to energy forecasting and management.
One notable paper authored by Rioux is "An explainable machine learning approach for energy forecasting at the household level", published in 2024 in arXiv (Cornell University). This paper addresses methodological advances in forecasting household energy consumption using machine learning techniques.
The scientist collaborates with several frequent coauthors, including:
Across their publications, Rioux's expertise is evident in the integration of engineering principles with sustainable energy practices and smart grid technologies, targeting improvements in energy efficiency and predictive capabilities for energy load management.
Markus-Christian Amann;Thierry M. Bosch;Marc Lescure;Risto A. Myllylae
Marc Rioux
Eric Paquet;Marc Rioux;Anil M. Murching;Thumpudi Naveen
Guy Godin;Marc Rioux;Rejean Baribeau
Roger Ball;Chang Shu;Pengcheng Xi;Marc Rioux
Pierre-André Bélanger;Marc Rioux
R. Baribeau;M. Rioux;G. Godin
Peter R.M. Jones;Marc Rioux
Marc Rioux;Patrick Hebert
G. Godin;J.-A. Beraldin;J. Taylor;L. Cournoyer
Réjean Baribeau;Marc Rioux
A.K.C. Wong;S.W. Lu;M. Rioux
Marc Soucy;Guy Godin;Marc Rioux
Marc Rioux;G. Bechthold;D. Taylor;M. Duggan
J-Angelo Beraldin;Francois Blais;Luc Cournoyer;Guy Godin
J.-Angelo Beraldin;F Blais;P Boulanger;L Cournoyer
E. Paquet;M. Rioux
Zouhour Ben Azouz;Marc Rioux;Chang Shu;Richard Lepage
Francois Blais;Marc Rioux;J.-Angelo Beraldin
Unknown
J.-A. Beraldin;L. Cournoyer;M. Rioux;F. Blais
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