| 1 |
A Generalized Framework For Kullback-Leibler Markov Aggregation
Amjad RA, Blochl C, Geiger BC
IEEE Transactions on Automatic Control, 65(7), 3068, 2020 |
| 2 |
PREDICTABLE FORWARD PERFORMANCE PROCESSES: THE BINOMIAL CASE
Angoshtari B, Zariphopoulou T, Zhou XY
SIAM Journal on Control and Optimization, 58(1), 327, 2020 |
| 3 |
Control loop performance monitoring based on weighted permutation entropy and control charts
Wu P, Guo LL, Duan YY, Zhou W, He GJ
Canadian Journal of Chemical Engineering, 97, 1488, 2019 |
| 4 |
Verification of Fault-predictability in Labeled Petri Nets Using Predictor Graphs
You D, Wang SG, Seatzu C
IEEE Transactions on Automatic Control, 64(10), 4353, 2019 |
| 5 |
Relative predictability of failure event occurrences and its opacity-based test algorithm
Zhao R, Liu FC, Tan JX
International Journal of Control, 92(7), 1600, 2019 |
| 6 |
Innovative hybrid models for forecasting time series applied in wind generation based on the combination of time series models with artificial neural networks
Camelo HD, Lucio PS, Leal JB, De Carvalho PCM, dos Santos DV
Energy, 151, 347, 2018 |
| 7 |
The importance of forecasting regional wind power ramping: A case study for the UK
Drew DR, Cannon DJ, Barlow JF, Coker PJ, Frame THA
Renewable Energy, 114, 1201, 2017 |
| 8 |
A comparison of the predictability of batch flotation kinetic models
Alvarez-Silva M, Vinnett L, Langlois R, Waters KE
Minerals Engineering, 99, 142, 2016 |
| 9 |
Assessment of wind power predictability as a decision factor in the investment phase of wind farms
Girard R, Laquaine K, Kariniotakis G
Applied Energy, 101, 609, 2013 |
| 10 |
Scales of spatial and temporal variation of solar irradiance on Reunion tropical island
Badosa J, Haeffelin M, Chepfer H
Solar Energy, 88, 42, 2013 |
