| 1 |
Fault-tolerant sensor reconciliation schemes based on unknown input observers
Behzad H, Casavola A, Tedesco F, Sadrnia MA
International Journal of Control, 93(3), 669, 2020 |
| 2 |
Reconciling solar forecasts: Probabilistic forecast reconciliation in a nonparametric framework
Yang DZ
Solar Energy, 210, 49, 2020 |
| 3 |
Reconciling solar forecasts: Probabilistic forecasting with homoscedastic Gaussian errors on a geographical hierarchy
Yagli GM, Yang DZ, Srinivasan D
Solar Energy, 210, 59, 2020 |
| 4 |
Multi-model sensor fault detection and data reconciliation: A case study with glucose concentration sensors for diabetes
Feng JY, Hajizadeh I, Yu X, Rashid M, Samadi S, Sevil M, Hobbs N, Brandt R, Lazaro C, Maloney Z, Littlejohn E, Quinn L, Cinar A
AIChE Journal, 65(2), 629, 2019 |
| 5 |
Metabolism of sucrose in a non-fermentative Escherichia coli under oxygen limitation
Olavarria K, Fina A, Velasco MI, van Loosdrecht MCM, Wahl SA
Applied Microbiology and Biotechnology, 103(15), 6245, 2019 |
| 6 |
Data rectification for multiple operating modes: A MAP framework
Alighardashi H, Jan NM, Huang B
Computers & Chemical Engineering, 123, 272, 2019 |
| 7 |
Problems of calculation the energy efficiency of a dual-fuel steam boiler fired with industrial waste gases
Szega M, Czyz T
Energy, 178, 134, 2019 |
| 8 |
Identification of mathematical models of thermal processes with reconciled measurement results
Plis M, Rusinowski H
Energy, 177, 192, 2019 |
| 9 |
Reconciling solar forecasts: Sequential reconciliation
Yagli GM, Yang DZ, Srinivasan D
Solar Energy, 179, 391, 2019 |
| 10 |
Data reconciliation strategy with time registration for the evaporation process in alumina production
Xie S, Yang CH, Wang XL, Xie YF
Canadian Journal of Chemical Engineering, 96(1), 189, 2018 |
