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User-aided footprint extraction for appliance modelling in Non-Intrusive Load Monitoring., , , , , and . SSCI, page 1-8. IEEE, (2016)An IoT Solution for Energy Management at Building and District Level., , , , , , , , and . MESA, page 1-7. IEEE, (2018)An Energy Aware Approach for Task Scheduling in Energy-Harvesting Sensor Nodes., , and . ISNN (2), volume 7368 of Lecture Notes in Computer Science, page 601-610. Springer, (2012)Depth-Based Fall Detection: Outcomes from a Real Life Pilot., , , , , and . ForItAAL, volume 544 of Lecture Notes in Electrical Engineering, page 287-299. Springer, (2018)Energy management with the support of dynamic pricing strategies in real micro-grid scenarios., , , and . IJCNN, page 1-8. IEEE, (2015)Computational framework based on task and resource scheduling for micro grid design., , and . IJCNN, page 1695-1702. IEEE, (2014)Infant Cry Detection in Adverse Acoustic Environments by Using Deep Neural Networks., , , , and . EUSIPCO, page 992-996. IEEE, (2018)Collaborative Energy Management in Micro-Grid environments through multi-objective optimization., , , and . IJCNN, page 1-8. IEEE, (2018)Energy-Aware task scheduler for self-powered sensor nodes: From model to firmware., , , and . Ad Hoc Networks, (2015)Improving the performance of the AFAMAP algorithm for Non-Intrusive Load Monitoring., , , , and . CEC, page 303-310. IEEE, (2016)