| 1 |
Harvest time prediction for batch processes
Spooner M, Kold D, Kulahci M
Computers & Chemical Engineering, 117, 32, 2018 |
| 2 |
Dynamic time warping based non-intrusive load transient identification
Liu B, Luan WP, Yu YX
Applied Energy, 195, 634, 2017 |
| 3 |
Seasonal and ageing effects on SFTW hydrodynamics study by full-scale tracer experiments and dynamic time warping algorithms
Nuel M, Laurent J, Bois P, Heintz D, Mose R, Wanko A
Chemical Engineering Journal, 321, 86, 2017 |
| 4 |
Introducing the Temporal Distortion Index to perform a bidimensional analysis of renewable energy forecast
Frias-Paredes L, Mallor F, Leon T, Gaston-Romeo M
Energy, 94, 180, 2016 |
| 5 |
Time series distance-based methods for non-intrusive load monitoring in residential buildings
Basu K, Debusschere V, Douzal-Chouakria A, Bacha S
Energy and Buildings, 96, 109, 2015 |
| 6 |
Similarity recognition of online data curves based on dynamic spatial time warping for the estimation of lithium-ion battery capacity
Tao LF, Lu C, Noktehdan A
Journal of Power Sources, 293, 751, 2015 |
| 7 |
Chromatographic Peak Alignment Using Derivative Dynamic Time Warping
Bork C, Ng K, Liu YH, Yee A, Pohlscheidt M
Biotechnology Progress, 29(2), 394, 2013 |
| 8 |
A hybrid fault diagnosis strategy for chemical process startups
Wang ZH, Zhao JS, Shang H
Journal of Process Control, 22(7), 1287, 2012 |
| 9 |
Time and output warping of control systems: Comparing and imitating motions
Kingston P, Egerstedt M
Automatica, 47(8), 1580, 2011 |
| 10 |
Settling state detection of SBR based on DO profile analysis using dynamic time warping
Kim Y, Bae H, Kim H, Shin J, Kim C
Korean Journal of Chemical Engineering, 27(2), 504, 2010 |
