F. Wu, C. Rüdiger, and M. R. Yuce, Real-Time Performance of a Self-Powered Environmental IoT Sensor Network System, Sensors, vol.17, issue.2, p.282, 2017.
DOI : 10.1016/j.adhoc.2012.09.002
URL : http://www.mdpi.com/1424-8220/17/2/282/pdf

T. N. Le, A. Pegatoquet, O. Berder, and O. Sentieys, A power manager with balanced quality of service for energy-harvesting wireless sensor nodes, Proceedings of the 2nd International Workshop on Energy Neutral Sensing Systems, ENSsys '14, pp.19-24, 2014.
DOI : 10.1145/1274858.1274870
URL : https://hal.archives-ouvertes.fr/hal-01069099

F. A. Aoudia, M. Gautier, and O. Berder, GRAPMAN: Gradual power manager for consistent throughput of energy harvesting wireless sensor nodes, 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), p.6, 2015.
DOI : 10.1109/PIMRC.2015.7343435
URL : https://hal.archives-ouvertes.fr/hal-01197335

A. S. Weddell, M. Magno, G. V. Merrett, D. Brunelli, B. M. Hashimi et al., A survey of multi-source energy harvesting systems, IEEE/ACM Design, Automation Test in Europe Conference Exhibition (DATE), pp.905-908, 2013.
DOI : 10.7873/date.2013.190
URL : https://eprints.soton.ac.uk/349117/1/IP3_17_0279.pdf

P. Gleonec, J. Ardouin, M. Gautier, and O. Berder, Multi-source Energy Harvesting for IoT nodes, IEEE Online Conference on Green Communications (Online GreenComm), 2016.
DOI : 10.1109/onlinegreencom.2016.7805402
URL : https://hal.archives-ouvertes.fr/hal-01370586

F. A. Aoudia, M. Gautier, and O. Berder, Learning to survive: Achieving energy neutrality in wireless sensor networks using reinforcement learning, 2017 IEEE International Conference on Communications (ICC), 2017.
DOI : 10.1109/ICC.2017.7996978
URL : https://hal.archives-ouvertes.fr/hal-01530098

M. Christ, A. W. Kempa-liehr, and M. Feindt, Distributed and parallel time series feature extraction for industrial big data applications, 2016.

F. A. Borges, R. A. Fernandes, I. N. Silva, and C. B. Silva, Feature Extraction and Power Quality Disturbances Classification Using Smart Meters Signals, IEEE Transactions on Industrial Informatics, vol.12, issue.2, pp.824-833, 2016.
DOI : 10.1109/TII.2015.2486379

J. Tang, S. Alelyani, and H. Liu, Feature selection for classification: A review Data Classification: Algorithms and Applications, p.37, 2014.

G. H. John, R. Kohavi, and K. Pfleger, Irrelevant Features and the Subset Selection Problem, Machine learning: proceedings of the eleventh international conference, pp.121-129, 1994.
DOI : 10.1016/B978-1-55860-335-6.50023-4

R. O. Duda, P. E. Hart, and D. G. Stork, Pattern classification, 1973.

D. Koller and M. Sahami, Toward optimal feature selection, Tech. Rep, 1996.

K. Kira and L. A. , A Practical Approach to Feature Selection, Proceedings of the ninth international workshop on Machine learning, pp.249-256, 1992.
DOI : 10.1016/B978-1-55860-247-2.50037-1

M. Gorlatova, A. Wallwater, G. Zussman, and ]. S. Wilcox, Networking Low-Power Energy Harvesting Devices: Measurements and Algorithms, IEEE Transactions on Mobile Computing, vol.12, issue.9, pp.1853-1865, 2013.
DOI : 10.1109/TMC.2012.154
URL : http://www.ee.columbia.edu/pdf-files/CUEE2010-12-15.pdf

D. Jager and A. Andreas, Nrel national wind technology center (nwtc): M2 tower; boulder, colorado (data)