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pro vyhledávání: '"Ludovic Favre"'
This paper presents an optimization method based on genetic algorithm for the energy management inside buildings developed in the frame of the project Smart Living Lab (SLL) in Fribourg (Switzerland). This algorithm optimizes the interaction between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::785b78088f6bae5fe244c67de384cee5
Publikováno v:
2018 IEEE International Energy Conference (ENERGYCON).
In the frame of a research project conducted at the Smart Living Lab (SLL), a research center dedicated to the building of the future, this paper presents an algorithm that optimizes the coupling of local renewable energy production systems with ener
Publikováno v:
2018 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE).
Publikováno v:
2018 5th International Conference on Electric Power and Energy Conversion Systems (EPECS).
The reduction of the environmental impact of buildings through better energy management could play a significant role in achieving nowadays greenhouse gas emission reduction targets. In this context and following this purpose, we developed a regulati
Autor:
Nicolas El Hayek, Elena-Lavinia Niederhäuser, Laurent Donato, Maxime Chiarelli, Ludovic Favre
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 240:042018
Autor:
Elena-Lavinia Niederhäuser, Ludovic Favre, Maxime Chiarelli, Nicolas El Hayek, Laurent Donato
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 240:042015
Publikováno v:
Journal of King Saud University: Engineering Sciences, Vol 30, Iss 2, Pp 195-204 (2018)
The rapid economic and population growth in developing countries, effective and efficient energy usage has turned out to be crucial due to the rising concern of depleting fossil fuels, of which, one-third of primary energy is consumed in buildings an