Optimal activity and battery scheduling algorithm using load and solar generation forecast. - Rui Yuan; Nam Trong Dinh; Yogesh Pipada Sunil Kumar; S. Ali Pourmousavi (CoRR, 2021)

Optimal sizing and scheduling of community battery storage within a local market. - Nam Trong Dinh; S. Ali Pourmousavi; Sahand Karimi-Arpanahi; Yogesh Pipada Sunil Kumar; Mingyu Guo; Derek Abbott; Jon A. R. Liisberg (e-Energy, 2022)

Optimal activity and battery scheduling algorithm using load and solar generation forecasts. - Yogesh Pipada Sunil Kumar; Rui Yuan; Nam Trong Dinh; S. Ali Pourmousavi (CoRR, 2022)

Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy. - Christoph Bergmeir; Frits de Nijs; Abishek Sriramulu; Mahdi Abolghasemi; Richard Bean 001; John M. Betts; Quang Bui; Nam Trong Dinh; Nils Einecke; Rasul Esmaeilbeigi; Scott Ferraro; Priya Galketiya; et al. (CoRR, 2022)

Modelling Irrational Behaviour of Residential End Users using Non-Stationary Gaussian Processes. - Nam Trong Dinh; Sahand Karimi-Arpanahi; S. Ali Pourmousavi; Rui Yuan; Mingyu Guo; Jon A. R. Liisberg; Julián Lemos-Vinascco (CoRR, 2023)

On the Financial Consequences of Simplified Battery Sizing Models without Considering Operational Details. - Nam Trong Dinh; Sahand Karimi-Arpanahi; S. Ali Pourmousavi; Mingyu Guo; Julián Lemos-Vinasco; Jon A. R. Liisberg (CoRR, 2023)

A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market. - Cameron Cornell; Nam Trong Dinh; S. Ali Pourmousavi (CoRR, 2023)

Modeling Irrational Behavior of Residential End Users Using Non-Stationary Gaussian Processes. - Nam Trong Dinh; Sahand Karimi-Arpanahi; Rui Yuan; S. Ali Pourmousavi; Mingyu Guo; Jon A. R. Liisberg; Julián Lemos-Vinasco (IEEE Trans. Smart Grid, 2024)

Predict+Optimize Problem in Renewable Energy Scheduling. - Christoph Bergmeir; Frits de Nijs; Evgenii Genov; Abishek Sriramulu; Mahdi Abolghasemi; Richard Bean 001; John M. Betts; Quang Bui; Nam Trong Dinh; Nils Einecke; Rasul Esmaeilbeigi; Scott Ferraro; et al. (IEEE Access, 2025)