Bioinpired efficient energy management |
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| Mentor: | Mª Dolores Rodríguez Moreno |
| Email: | malola.rmoreno@uah.es |
| Phone: | (+34) 918856607 |
| University: | Universidad de Alcalá |
| Partner Host Institution: | N.A |
| Keywords: | Bioinspired Algorithms, Machine Learning, Planning, Control, Robotics |
Bioinpired efficient energy management
Bioinspired algorithms for the application of smart energy grids
Energy management plays a vital role in maintaining sustainability and reliability of smart grids. It also helps to prevent blackouts. Energy management at consumer’s side is a complex task. It requires efficient scheduling of appliances with minimum delay to reduce peak to average ratio and energy consumption cost. Classification of appliances is based on their energy consumption pattern. Bio-inspired optimization algorithms can be used to efficiently schedule the energy management and help in the reduction on the energy consumption.
| Departament: | Automatics |
| Research Group: | Intelligent Systems Group |
| More Information: | http://isg.aut.uah.es/ |
| Relevants projects on the area: | Cooperative systems for autonomous exploration missions. Funding Agency: ESA. Grant: 180K€. Year: 2012-2015. |
| Relevants publications on the area: | 1.-Daniel Vaquerizo-Hdez, Pablo Muñoz, María D. R-Moreno and David F. Barrero. A Low Power Consumption Algorithm for Efficient Energy Consumption in ZigBee Motes. Sensors 2017, 17, 2179; doi:10.3390/s17102179. 2.- Daniel Diaz, Amedeo Cesta, Angelo Oddi, Riccardo Rasconi and María D. R-Moreno. Efficient Energy Management for Autonomous Control in Rover Missions. IEEE Computational Intelligence Magazine, 8(4), pp:12-24, 2013. Special Issue on Computational Intelligence for Space Systems and Operations. |
