| 1 |
Combining model structure identification and hybrid modelling for photo-production process predictive simulation and optimisation
Zhang DD, Savage TR, Cho BA
Biotechnology and Bioengineering, 117(11), 3356, 2020 |
| 2 |
Bridging the gap using energy services: Demonstrating a novel framework for soft linking top-down and bottom-up models
Andersen KS, Termansen LB, Gargiulo M, Gallachoirc BPO
Energy, 169, 277, 2019 |
| 3 |
An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia
Salcedo-Sanz S, Deo RC, Cornejo-Bueno L, Camacho-Gomez C, Ghimire S
Applied Energy, 209, 79, 2018 |
| 4 |
Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach
Chaffart D, Ricardez-Sandoval LA
Computers & Chemical Engineering, 119, 465, 2018 |
| 5 |
Monitoring energy efficiency of condensing boilers via hybrid first-principle modelling and estimation
Satyavada H, Baldi S
Energy, 142, 121, 2018 |
| 6 |
Hybrid non-linear model predictive control of a run-of-mine ore grinding mill circuit
Botha S, le Roux JD, Craig IK
Minerals Engineering, 123, 49, 2018 |
| 7 |
Diffusion of Climate Technologies in the Presence of Commitment Problems
Faehn T, Isaksen ET
Energy Journal, 37(2), 155, 2016 |
| 8 |
A sigmoid function to characterise the mechanical behaviour of rubber materials
Topcu M, Madabhushi GSP
Polymer, 78, 134, 2015 |
| 9 |
Hierarchical hybrid modelling and control of an unmanned helicopter
Karimoddini A, Lin H, Chen BM, Lee TH
International Journal of Control, 87(9), 1779, 2014 |
| 10 |
Identification of semi-parametric hybrid process models
Yang AD, Martin E, Morris J
Computers & Chemical Engineering, 35(1), 63, 2011 |
