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A Semi-Empirical Approach to a Physically Based Aging Model for Home Energy Management Systems
by
Miller, C.
,
Goutham, M.
,
Chen, X.
,
Hanumalagutti, P.D.
,
Blaser, R.
,
Stockar, S.
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User Activity Sequence Prediction in Smart Homes using Multi-Layer Long Short-Term Memory Networks
by
Goutham, M.
,
Stockar, S.
,
Blaser, R.
,
Hanumalagutti, P.D.
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User Activity Sequence Prediction in Smart Homes using Multi-Layer Long Short-Term Memory Networks⁎⁎This project was supported and sponsored by Ford Motor Company
by
Goutham, M.
,
Stockar, S.
,
Blaser, R.
,
Hanumalagutti, P.D.
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IFAC-PapersOnLine
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Ifac-Papersonline
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Activity Prediction
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Dynamic Time Warping
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Long Short-Term Memory
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Neural Networks
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Time Series Analysis
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Automation & Control Systems
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Chemistry
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Computational Modeling
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Degradation
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Electric Vehicles
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Energy Management Systems
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Energy Storage
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Energy Utilization
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Lithium-Ion Batteries
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Propulsion
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Real-Time Systems
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Rechargeable Batteries
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Renewable Energy Sources
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Residential Energy
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Ieee Electronic Library (Iel) Conference Proceedings
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Bacon - Elsevier - Global Sciencedirect-Openaccess
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Ieee Xplore All Conference Series
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