TY  - JOUR
AU  - Nguyen, Ayesha
AU  - Chowdhury, Kwame
TI  - Modelling Content Recommendation Systems with Model Predictive Control
JO  - Open Access Journal of Engineering Applications
PY  - 2021
VL  - 45
IS  - 1
SP  - 616
EP  - 636
AB  - Industry increasingly demands predictive tools that link content recommendation systems to the observable performance of thermal power plants. Using model predictive control, the governing parameters are systematically varied to isolate their individual effects. Applying the method to 6 real-world sites yielded consistent and reproducible results. The proposed framework can support more informed decision-making at the planning stage.
KW  - content recommendation systems
KW  - model predictive control
KW  - particle swarm optimisation
KW  - fuzzy logic
SN  - 3105-7004
DO  - 10.55555/oajea.2021.4501.030
UR  - https://journal.bsaps.com/article/9797
ER  -